jobguy_wordcloud.ipynb

{
 "cells": [
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [],
   "source": [
    "from PIL import Image\n",
    "import matplotlib.pylab as plt\n",
    "import numpy as np \n",
    "from wordcloud import WordCloud, STOPWORDS, ImageColorGenerator\n",
    "import os\n",
    "import pandas as pd\n",
    "import json\n",
    "import arabic_reshaper\n",
    "from bidi.algorithm import get_display\n",
    "import hazm\n",
    "import re\n",
    "%matplotlib inline"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 14,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>company_name</th>\n",
       "      <th>title</th>\n",
       "      <th>comment</th>\n",
       "      <th>link</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>فرتک</td>\n",
       "      <td>\\n            سابقه همکاری نسبتا طولانی\\n     ...</td>\n",
       "      <td>من چندسالی در این شرکت کار میکردم به دلیل یکسر...</td>\n",
       "      <td>https://jobguy.ir/review/131/%D8%B3%D8%A7%D8%A...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>فرتک</td>\n",
       "      <td>\\n            استفاده از تکنولوژی های به روز\\n...</td>\n",
       "      <td>من در سال 1395 وارد فرتک شدم. یکی از بهترین وی...</td>\n",
       "      <td>https://jobguy.ir/review/132/%D8%A7%D8%B3%D8%A...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
       "      <td>فرتک</td>\n",
       "      <td>\\n            من که راضیم\\n</td>\n",
       "      <td>قدرت تصمیم گیری فردی در این شرکت خیلی بالاست ب...</td>\n",
       "      <td>https://jobguy.ir/review/430/%D9%85%D9%86-%DA%...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>فرتک</td>\n",
       "      <td>\\n            قدرت تصمیم گیری\\n</td>\n",
       "      <td>قدرت تصمیم گیری فردی در این شرکت بسیار بالاست....</td>\n",
       "      <td>https://jobguy.ir/review/133/%D9%82%D8%AF%D8%B...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>ابر آروان</td>\n",
       "      <td>NaN</td>\n",
       "      <td>مصاحبه بنا بود ۵ مرحله داشته باشه که مرحله اول...</td>\n",
       "      <td>https://jobguy.ir/interview/20/%D9%85%D8%B5%D8...</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "  company_name                                              title  \\\n",
       "0         فرتک  \\n            سابقه همکاری نسبتا طولانی\\n     ...   \n",
       "1         فرتک  \\n            استفاده از تکنولوژی های به روز\\n...   \n",
       "2         فرتک              \\n            من که راضیم\\n             \n",
       "3         فرتک          \\n            قدرت تصمیم گیری\\n             \n",
       "4    ابر آروان                                                NaN   \n",
       "\n",
       "                                             comment  \\\n",
       "0  من چندسالی در این شرکت کار میکردم به دلیل یکسر...   \n",
       "1  من در سال 1395 وارد فرتک شدم. یکی از بهترین وی...   \n",
       "2  قدرت تصمیم گیری فردی در این شرکت خیلی بالاست ب...   \n",
       "3  قدرت تصمیم گیری فردی در این شرکت بسیار بالاست....   \n",
       "4  مصاحبه بنا بود ۵ مرحله داشته باشه که مرحله اول...   \n",
       "\n",
       "                                                link  \n",
       "0  https://jobguy.ir/review/131/%D8%B3%D8%A7%D8%A...  \n",
       "1  https://jobguy.ir/review/132/%D8%A7%D8%B3%D8%A...  \n",
       "2  https://jobguy.ir/review/430/%D9%85%D9%86-%DA%...  \n",
       "3  https://jobguy.ir/review/133/%D9%82%D8%AF%D8%B...  \n",
       "4  https://jobguy.ir/interview/20/%D9%85%D8%B5%D8...  "
      ]
     },
     "execution_count": 14,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data = pd.read_csv('scrapy_project/jubguy_ir/jubguy_ir/spiders/jobguy_data.csv', encoding='utf-8', header = None)\n",
    "data = data.drop(0, axis = 1)\n",
    "data.columns = ['company_name', 'title', 'comment', 'link']\n",
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "(699, 4)"
      ]
     },
     "execution_count": 76,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.shape"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [],
   "source": [
    "data['title'] = data['title'].map(lambda x:str(x) if type(x)==float else x.splitlines()[1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 53,
   "metadata": {},
   "outputs": [],
   "source": [
    "stemmer = hazm.Stemmer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [],
   "source": [
    "normalizer = hazm.Normalizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 58,
   "metadata": {},
   "outputs": [],
   "source": [
    "data.comment = data.comment.map(lambda x: str(x) if type(x)==float else normalizer.normalize(x))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "tokenizer= hazm.WordTokenizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['اصلا',\n",
       " 'گول',\n",
       " 'ظاهر',\n",
       " 'شرکت',\n",
       " 'رو',\n",
       " 'نخورید',\n",
       " '.',\n",
       " 'به',\n",
       " 'ظاهر',\n",
       " 'اسم',\n",
       " 'دانش',\n",
       " 'بنیان',\n",
       " 'دارند',\n",
       " 'کسی',\n",
       " 'که',\n",
       " 'تجربه',\n",
       " 'مصاحبه',\n",
       " 'با',\n",
       " 'منابع',\n",
       " 'انسانی',\n",
       " 'رو',\n",
       " 'داره',\n",
       " 'زود',\n",
       " 'می\\u200cفهمه',\n",
       " 'که',\n",
       " 'مدیر',\n",
       " 'منابع',\n",
       " 'انسانی',\n",
       " 'بسیار',\n",
       " 'عقده\\u200cای',\n",
       " 'بی',\n",
       " 'تجربه',\n",
       " 'و',\n",
       " 'چیپ',\n",
       " 'هست',\n",
       " '…هیچ',\n",
       " 'کجا',\n",
       " 'به',\n",
       " 'جز',\n",
       " 'این',\n",
       " 'شرکت',\n",
       " 'نمی\\u200cتونید',\n",
       " 'ببینید',\n",
       " 'که',\n",
       " 'مدیر',\n",
       " 'منابع',\n",
       " 'انسانی',\n",
       " 'مدیران',\n",
       " 'سطح',\n",
       " 'بالای',\n",
       " 'شرکت',\n",
       " 'رو',\n",
       " 'روز',\n",
       " 'مصاحبه',\n",
       " 'تخریب',\n",
       " 'کنه',\n",
       " 'و',\n",
       " 'ادبیات',\n",
       " 'در',\n",
       " 'خور',\n",
       " 'شان',\n",
       " 'خودش',\n",
       " 'رو',\n",
       " 'داشته',\n",
       " 'باشه',\n",
       " '…',\n",
       " '.',\n",
       " 'فرایند',\n",
       " 'مدارکی',\n",
       " 'که',\n",
       " 'می\\u200cخواستند',\n",
       " 'برای',\n",
       " 'من',\n",
       " 'حداقل',\n",
       " 'دو',\n",
       " 'روز',\n",
       " 'طول',\n",
       " 'می\\u200cکشید',\n",
       " 'که',\n",
       " 'خدا',\n",
       " 'رو',\n",
       " 'شکر',\n",
       " 'جایه',\n",
       " 'دیگر',\n",
       " 'رو',\n",
       " 'که',\n",
       " 'کاندید',\n",
       " 'کرده_بودم',\n",
       " 'برای',\n",
       " 'کار',\n",
       " '،',\n",
       " '،',\n",
       " 'این',\n",
       " 'دو',\n",
       " 'روز',\n",
       " 'اونجا',\n",
       " 'صرف',\n",
       " 'کارهای',\n",
       " 'مفید',\n",
       " 'شد',\n",
       " '.',\n",
       " ',',\n",
       " 'و',\n",
       " 'از',\n",
       " 'لحاظ',\n",
       " 'تایم',\n",
       " 'کاری',\n",
       " 'و',\n",
       " 'حقوق',\n",
       " 'برام',\n",
       " 'بهتر',\n",
       " 'شد',\n",
       " '.']"
      ]
     },
     "execution_count": 66,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a = tokenizer.tokenize(data.comment.iloc[220])\n",
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "lemmatizer = hazm.Lemmatizer()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 70,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['اصلا',\n",
       " 'گول',\n",
       " 'ظاهر',\n",
       " 'شرکت',\n",
       " 'رو',\n",
       " 'خورد#خور',\n",
       " '.',\n",
       " 'به',\n",
       " 'ظاهر',\n",
       " 'اسم',\n",
       " 'دانش',\n",
       " 'بنیان',\n",
       " 'داشت#دار',\n",
       " 'کس',\n",
       " 'که',\n",
       " 'تجربه',\n",
       " 'مصاحبه',\n",
       " 'با',\n",
       " 'منابع',\n",
       " 'انسان',\n",
       " 'رو',\n",
       " 'داره',\n",
       " 'زود',\n",
       " 'می\\u200cفهمه',\n",
       " 'که',\n",
       " 'مدیر',\n",
       " 'منابع',\n",
       " 'انسان',\n",
       " 'بسیار',\n",
       " 'عقده',\n",
       " 'بی',\n",
       " 'تجربه',\n",
       " 'و',\n",
       " 'چیپ',\n",
       " '#هست',\n",
       " '…هیچ',\n",
       " 'کجا',\n",
       " 'به',\n",
       " 'جز',\n",
       " 'این',\n",
       " 'شرکت',\n",
       " 'نمی\\u200cتونید',\n",
       " 'ببینید',\n",
       " 'که',\n",
       " 'مدیر',\n",
       " 'منابع',\n",
       " 'انسان',\n",
       " 'مدیر',\n",
       " 'سطح',\n",
       " 'بالا',\n",
       " 'شرکت',\n",
       " 'رو',\n",
       " 'روز',\n",
       " 'مصاحبه',\n",
       " 'تخریب',\n",
       " 'کنه',\n",
       " 'و',\n",
       " 'ادبیات',\n",
       " 'در',\n",
       " 'خور',\n",
       " 'شان',\n",
       " 'خودش',\n",
       " 'رو',\n",
       " 'داشته',\n",
       " 'باشه',\n",
       " '…',\n",
       " '.',\n",
       " 'فرایند',\n",
       " 'مدارک',\n",
       " 'که',\n",
       " 'خواست#خواه',\n",
       " 'برای',\n",
       " 'من',\n",
       " 'حداقل',\n",
       " 'دو',\n",
       " 'روز',\n",
       " 'طول',\n",
       " 'کشید#کش',\n",
       " 'که',\n",
       " 'خدا',\n",
       " 'رو',\n",
       " 'شکر',\n",
       " 'جایه',\n",
       " 'دیگر',\n",
       " 'رو',\n",
       " 'که',\n",
       " 'کاندید',\n",
       " 'کرد#کن',\n",
       " 'برای',\n",
       " 'کار',\n",
       " '،',\n",
       " '،',\n",
       " 'این',\n",
       " 'دو',\n",
       " 'روز',\n",
       " 'اونجا',\n",
       " 'صرف',\n",
       " 'کار',\n",
       " 'مفید',\n",
       " 'شد#شو',\n",
       " '.',\n",
       " ',',\n",
       " 'و',\n",
       " 'از',\n",
       " 'لحاظ',\n",
       " 'تا',\n",
       " 'کاشت#کار',\n",
       " 'و',\n",
       " 'حقوق',\n",
       " 'برام',\n",
       " 'بهتر',\n",
       " 'شد#شو',\n",
       " '.']"
      ]
     },
     "execution_count": 70,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "[lemmatizer.lemmatize(x) for x in a]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "text = data.comment.to_string()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'0      من چندسالی در این شرکت کار میکردم به دلیل یکسر...\\n1      من در سال ۱۳۹۵ وارد فرتک شدم. یکی از بهترین وی...\\n2      قدرت تصمیم گیری فردی در این شرکت خیلی بالاست ب...\\n3      قدرت تصمیم گیری فردی در این شرکت بسیار بالاست....\\n4      مصاحبه بنا بود ۵ مرحله داشته باشه که مرحله اول...\\n5      حدود ۱ ماه قبل از عید رزومه از طریق وبسایت رزو...\\n6      اینجا رو یکی از دوستانم با یک واسطه بهم معرفی ...\\n7      مصاحبه معمولا در ابتدا با یکی از افراد سنیور ش...\\n8      کارجویان محترم اصلا من با نظرات و پیشنهادات با...\\n9      سوییچ دائمی تسک، نداشتن زمان کاری (پنج شنبه جم...\\n10     چند سال از بهترین دوران عمرم رو تو این شرکت بو...\\n11     بدترین چیزی که توی اسنپ باکس وجود داره مدیریت ...\\n12     سال\\u200cهای زیادی در این شرکت کار کردم و تنها چیزی...\\n13     من در شرکت امن افزار گستر شریف حدود ۳ سال از م...\\n14     در موقع مصاحبه کاری از شما می\\u200cخواهند که تعهد ب...\\n15     فرهنگ کاری عالی با مدیران فهیم و البته وقتی می...\\n16     از هفته\\u200cی سوم دیگه فهمیدم اونجا جای من نیست، ت...\\n17     تجربه کاری من توی این شرکت بدترین تجربه حرفه\\u200cا...\\n18     کار کردن در این شرکت بدترین تجربه من در طول دو...\\n19                                                   nan\\n20     بدترین تجربه کاری بود که داشتم، در این شرکت هی...\\n21     مصاحبه چهار مرحله داشت و توی سه روز مختلف انجا...\\n22     بعد از جذب سرمایه از همراه اول شروع به استخدام...\\n23     من و دوستم حدود ۸ ماه تا یک سال باهاشون در حال...\\n24     سانا گستر چندتا محصول داره. تجربه خیلی کوتاه م...\\n25     من چند سال تجربه کاری در این شرکت را داشتم. ال...\\n26     حقوق کم غالبا بدون بیمه عدم در اختیار قراردادن...\\n27     یکم پیشرفته\\u200cتر از حد فعلی برای کشور هستن. من ف...\\n28     مدت ۱ ماه مشغول به کار شدم محیط آرومی برای کار...\\n29     تجربه کاری موفقی نبود. مدیریت ضعیف، پرداخت حقو...\\n30     شرکت واقعا خوبی هستش من الان۲ هستش که کار میکن...\\n31     من یکسال به عنوان موشن گرافیست در این شرکت درح...\\n32                                                   nan\\n33     بهترین تجربه کاری را در این شرکت تجربه کردم. م...\\n34     شرکت داده\\u200cکاوان یکی از بهترین شرکت\\u200cهایی هست که...\\n35     محیط کار تقریبا شبیه شرکت\\u200cهای دولتیه. از نظر م...\\n36                                                      \\n37            خیلی خوب بود ولی حیف مدت همکاری مون کم بود\\n38     دیجیتال مارکتینگ بسته بندی تله مارکتینگ سوشال ...\\n39                                                   nan\\n40     تجربه حرفه\\u200cای چندان خوبی نبود ولی محیط دوستانه...\\n41     ۱. اول از همه با بدقولی اونها در میزان حقوق شر...\\n42     شرکت فروش با امکان رشد و پیشرفت فراوان و کسب د...\\n43     من مدت یک سال و دو ماه تو منابع انسانی این شرک...\\n44     من برای دوره آزمایشی اینجا بودم. با وجود تکمیل...\\n45     سال ۹۴ اونجا بودم واقعا محیط دوستانه\\u200cای برای م...\\n46     یک هفته\\u200cای که اونجا کار کردم مدیریت این مجموعه...\\n47     پژوهش توسعه ناجی یه شرکت نیمه دولتی با ساختار ...\\n48     دسترسی سخت به مترو مصلی و خواجه عبدالله/ ساعت ...\\n49     سلام پیگیری روند مصاحبه خیلی برام جالب بود تنه...\\n50     سلام من توی سه تا از استارت آپ\\u200cها مشغول بکار ب...\\n51     حدود ۴ سال میشه که از تجربه همکاری با لتکا لذت...\\n52     دو جلسه مصاحبه داشتم با مدیر مجموعه که شخص بسی...\\n53     ببینید من ۴ سال با این مجموعه کار کردم. اقای س...\\n54     پروفایل از جمله شرکت\\u200cهای خوب مشهدیه که در حال ...\\n55     فرآیند مصاحبه\\u200cها طولانی بود بیش از یکماه به دل...\\n56     در یک کلام دیوانه خانه\\u200cای که توسط دیوانه\\u200cها اد...\\n57     امنیت شغلی در شایگان وجود ندارد پرداخت حقوق با...\\n58     رفتم مصاحبه، رزومه داده بودم که لینکدین و گیت\\u200c...\\n59     بدترین دوران کاری بود که اونجا بودم حقوق کمتر ...\\n60     تجربه کاری من در سیمیا در ۲ سال گذشته تجربه پر...\\n61     خیلی جالب بود من با مسائل زیادی روبرو بودم. تا...\\n62     محیط خوبیه. حقوق و مزایای خوبی داره و مدیران ب...\\n63     من توی مصاحبه فنی قبول شدم و به من گفتن تست کد...\\n64     من مدت زیادی توی این شرکت بودم. فرهنگ این شرکت...\\n65     شرکت رویان دارو به صورت زنجیره\\u200cای در سراسر کشو...\\n66     تجربه\\u200cی کاری من در شرکت اینترنت اشیا ویراافزار...\\n67     سلام بنده به عنوان یک برنامه نویس بک اند که بع...\\n68     من حدود ۶ ماه با شرکت با بیمه که دفتر آن واقع ...\\n69     شرکت خوبی برای پیشرفت از نظر دانش و حوزه تخصص ...\\n70     عدم پرداخت حق و حقوق دوماه کارمندان علاوه بر پ...\\n71                                                  \\u200c\\u200c\\u200c\\u200c\\n72     چند روز اول بصورت آزمایشی کار میکنید تا هم عمل...\\n73     من برای همکاری به این شرکت رفتم. اما حدود یک ه...\\n74     یک مرحله مصاحبه\\u200cی حضوری داشت که دو نفر ابتدا ش...\\n75     مساله\\u200cای که در فناپ بود و آنرا به دیگران توصیه...\\n76     مدیر واحدی که باید مشغول به کار میشدم ایران نب...\\n77     پیشتر در موسسه\\u200cای که خودم دانش\\u200cآموز زبان بودم،...\\n78     کار کردن در شرکت دانمارکی لین لینکینگ را قطعا ...\\n79     متاسفانه تیم مدیریت قبلی که پنج سال در این شرک...\\n80     کار با تیم آرتی، با اینکه تو یه دوره چند ماهه ...\\n81     این شرکت تندتند نیرو استخدام می\\u200cکند. من مهران ...\\n82     در بدو ورود به شرکت قرارداد ۳ ساله با شما بسته...\\n83     محیط این کسب و کار کاملا استارتاپی و کارها بصو...\\n84     از نکات مثبتی که این مجموعه داره مدیران با سوا...\\n85     چرت\\u200cترین شرکتی که دیدم اصلا پیشنهاد نمیشه حقوق...\\n86     این شرکت فرهنگ سازمانی بسیار بدی داره. کارمندا...\\n87     به پیشنهاد یکی از آشنایان در این شرکت مشغول به...\\n88     بیش از چهار سال اونجا بودم، خیلی چیزا یاد گرفت...\\n89     سلام دوستان عزیز فکر می\\u200cکنم تقریبا نزدیک ۲ ماه...\\n90     مدتی به صورت دورکاری در سایت ارز دیجیتال به عن...\\n91     در دوره تقریبا دو ساله\\u200cای که در کار کردم همه چ...\\n92     ترجمیک خیلی شرکت صمیمی و خوبی هست برای کار. مخ...\\n93     حقیقتا ارزشی نداشت بیام برای این شرکت کوچیک نظ...\\n94     رفت و امد کاملا در اختیار خود شخص، بنده رو به ...\\n95     من حدود دو سال با گروه فنی مهندسی فراشبکه نوین...\\n96     فرهنگ خیلی پایینی داره شرکت به طوریکه همه مدیر...\\n97     نه خیلی بد و نه خیلی خوب بیشترین مشکل عدم پردا...\\n98     برای کسی که اولین جا می\\u200cخواد مشغول به کار بشه ...\\n99                                                   nan\\n100    برنامه شرکت و اپلیکیشن آن بسیار خوب طراحی شده ...\\n101    متاسفانه در شرکت داده پردازی فن آوا نظم کاری ب...\\n102    به مدت یکساله من در این شرکت مشغولم. به نظر من...\\n103    حقوق آنچنانی دریافت نخواهید کرد اما از نظر محی...\\n104    ۵ سال در این شرکت کار کردم و چون مدیر عامل از ...\\n105    تیم خوب و صمیمی بودیم منتهی سرمایه گذار ی آدم ...\\n106    یکی از مزیت\\u200cهای شرکت خطی بودن اونه و محیط شرکت...\\n107    در یک کلام مزخرف محیط خاله زنکی و آدم\\u200cهای کوتو...\\n108    با سلام خدمت همه دوست داران jobguy تجربه ما در...\\n109    در ابتدا عرض کنم مسیر دسترسی به شرکت خیلی جالب...\\n110    خیلی عالیه دکتر ادیب اخلاق خیلی خوبی دارند. بر...\\n111    من خودم به شخصه حدود ۲ سال تو نادلیکو کار کردم...\\n112                                                  nan\\n113    من مسعوللیت طراحی و پشتیبانی وبسایت\\u200cها و شبکه\\u200c...\\n114                                 محیطی صمیمی ودوستانه\\n115                    بسیار لذت بخش، کار تیمی بسیار قوی\\n116                                                    ۱\\n117    محیطش مثل خیلی شرکتهای متوسط ایرانیه. اگه حواس...\\n118    من دو سال حدودا تو این شرکت بودم منابع انسانی ...\\n119    من در کل شرکت\\u200cهای منطقه ویژه و آبادان و همچنین...\\n120    محیط کاری جوان و خلاق و پویای فریکت باعث میشد ...\\n121    بنده چند ماهی هست که در فناپ پلاس مشغولم. مرحل...\\n122    بنده الان چند ماهی هست تو فناپ پلاس استخدام شد...\\n123    با کلی تاخیر جلسه مصاحبه شروع شد مسئول منابع ا...\\n124    هر سوالی که بلد نبودم رو مصاحبه کننده بعدش مخت...\\n125    قرار بود مصاحبه بصورت اسکایپ برگزار بشه و کلی ...\\n126    یک مرحله مصاحبه فنی بود با اسکایپ که سر موقع ا...\\n127    بعد از تماس با بنده که تماس گیرنده هم کاملا رف...\\n128    بعد از ارسال رزومه و تماس با بنده، مراجعه کردم...\\n129    از طریق منابع انسانیش باهام تو لینکدین تماس گر...\\n130    در همون مرحله اول، شخص مصاحبه کننده یکی از مدی...\\n131    ۱۷سالکارکرد مستمر وصادقانه انجام چندین کار همز...\\n132    مصاحبه از ۵ - ۶ مرحله تشکل شده بو که واقعا حرف...\\n133    برای مصاحبه که با بنده تماس گرفتن تایم رو باها...\\n134    از نظر فنی واقعا پایین بودن و اطلاعات کسیکه مص...\\n135    برای برنامه نویس فرانت رفته بودم مصاحبه اول با...\\n136    ابتدا تماس گرفتند و چند سوال کلی پرسیدند که بب...\\n137    سوالات مسخره و بی پایه اساس میپرسن همیش در حال...\\n138    خانم بسیار محترمی با بنده تماس گرفتند و برای ر...\\n139    حدودا ۳ هفته طول کشید تا اولین قرار مصاحبه گذا...\\n140    برخورد خیلی محترمانه\\u200cای داشتن و همینطور محیط ش...\\n141    من پارسال برای مالک محصول دعوت شدم شرکت دایور....\\n142    یه مصاحبه تلفنی داشتم که چندتا سوال فنی پرسیدن...\\n143    در کل دید مثبتی به شرکت داشتم … سره وقت رسیدم ...\\n144    از طریق سایت\\u200cهای کاریابی این شرکت پیدا کردم بر...\\n145    اگر اشتباه نکنم مصاحبه کننده آقای زرین بودن پر...\\n146    من روی سایت جاب اینجا براشون رزومه ارسال کردم ...\\n147    من برای مصاحبه با این شرکت توسط دوستی معرفی شد...\\n148    یادمه رزومه رو در نمایشگاه پر کردم و بعدش باها...\\n149    مصاحبه بدی نبود ولی سوالات شخصی از طرف مسئولین...\\n150    ییک مرحله مصاحبه وجود داره که مدیر شرکت کاملا ...\\n151    روند مصاحبه: یک مرحله تست فنی بود که در آن، دا...\\n152    حدودا ۲ ۳ ماه پیش با آگهی ای که از پرشین گیگ د...\\n153    دو مرحله مصاحبه حضوری انجام شد که در هر دو مرح...\\n154                                  شرکتی بسیار پر تنش \\n155    بنده ساعت ۹ صبح مصاحبه داشتم. ساعت ۸٫۵۵ دقیقه ...\\n156    جلسات مصاحبه من سه جلسه بود که جلسه اول و سوم ...\\n157    بنده بعد از کلی مصاحبه با شرکت\\u200cهای ضعیف تصمیم ...\\n158    فرآیند مصاحبه ۳ مرحله داشت. مصاحبه فنی، جذب فن...\\n159    با سلام من بار اول که باهام تماس گرفته بودن رو...\\n160    من بیشتر این نظر رو مینویسم که تاکید کنم بعضی ...\\n161    بعنوان برنامه نویس وب به مصاحبه رفتم که ۳ مرحل...\\n162    مصاحبه در سه مرحله انجام شد که جالبه براتون بگ...\\n163    شرکت جو ملایم و محترمانه\\u200cای داره به نظرم. منته...\\n164    یک مرحله مصاحبه که ابتدا یک تست هوش توسط کامپی...\\n165    بعد از کلی معطل شدن برای مصاحبه، مصاحبه فنی صو...\\n166    شرکت فرست کوئست زمانی که من برای مصاحبه رفتم ه...\\n167    من ۴ مرحله مصاحبه داشتم - ۱ مرحله کتبی که سوال...\\n168    ۱ سال اونجا کار می\\u200cکردم. اواسط کارم اونجا متوج...\\n169    روز اول تماس گرفتن قرار مصاحبه حضوری گذاشتن، ا...\\n170    به من گفتن برای مصاحبه بیاین شرکت طبقه چهار. ر...\\n171    ساعت مصاحبه برای ۹ صبح تعیین شده بود و من از ق...\\n172    آگهی دادن استخدام فوری بعد از دو هفته تو واتس ...\\n173    دو مرحله مصاحبه انجام شد. مدیریت فنی مجموعه در...\\n174    بنده دیروز برای مصاحبه به این موسسه مراجعه کرد...\\n175    یک مرحله مصاحبه کاری برگزار شد که به هیچ عنوان...\\n176    در یک کلام مزخرف بهترین توصیفی هست که از این ش...\\n177    شدیدا دنبال گرفتن سفته بودند به مبلغ خارج از ع...\\n178    ابتدا با مدیر قسمتی که قرار بود برم جلسه داشتم...\\n179    من خیلی در مورد ارسال رزومه و رفتن به این شرکت...\\n180    بنده نظر دوستمون رو که بالا فرمودند اعلام نتیج...\\n181    من یک مرحله مصاحبه فنی داشتم که مصاحبه کننده ب...\\n182    اول کار در مورد شرکت هایی که کار کردم گفت توضی...\\n183    برای مصاحبه دعوت شدم و در ابتدای کار قرار بر ا...\\n184    من یک مرحله مصاحبه داشتم که اگر اشتباه نکنم با...\\n185    جدای از پرسیدن سوالات فنی که بسیار محترمانه بو...\\n186    اول اینکه آدرسی که توی سایت نوشتن اشتباه هست ب...\\n187    مصاحبه به صورت ریموت بود و خداروشکر حضوری نبود...\\n188    سلام، بنده چند ماهی است که در مدیانا مشغولم. م...\\n189    من از همکاران قبلی در مورد شرکت پرسیدم و بهم گ...\\n190    این شرکت برای تولید محتوا آگهی زده بودن. باهام...\\n191    مصاحبه مرحله اول اسکایپی بود و اوکی بود همه چی...\\n192    این شرکت با من تماس گرفت و قرار مصاحبه گذاشتیم...\\n193    با سلام. با من تماس گرفتند و گفتند حضوری مصاحب...\\n194    مستقیم با مدیر شرکت مصاحبه من شروع شد و اول مص...\\n195    یک مرحله اسکایپ یک نفر از اچ آر و یک نفر فنی س...\\n196    خانمی خوش برخورد تماس گرفتند و زمان مصاحبه فنی...\\n197    حدود چند ماه پیش من برای این شرکت رزومه ارسال ...\\n198    برای سمت ریکت نیتیو رزومه فرستاده بودم، زنگ زد...\\n199    پروسه جذب برای این شرکت بسیار طولانی هست من ۳ ...\\n200    مصاحبه اولیه با مسئول منابع انسانی انجام شد. م...\\n201    چند ماه پیش برای مصاحبه با این شرکت رفتم تا ته...\\n202    من در تاریخ ۲ اسفند ۱۳۹۸ برای مصاحبه در موقعیت...\\n203    همین اول باید این نکته رو بگم که «بدون اغراق ب...\\n204    مصاحبه این جور که به نظر میومد تک مرحله\\u200cای و س...\\n205    مصاحبه در دو مرحله انجام شد اول با مسئول HR بع...\\n206    مصاحبه ساده و معمولی گرفتن و حقوق پرسیدن و چیز...\\n207    اولش یه خانم خوش برخوردی در وا کرد رفتم داخل ا...\\n208    من رزومه فرستادم و یادم نیس بعد از چند روز زنگ...\\n209    من از سال ۱۳۹۰ به عنوان کار آموز وارد این شرکت...\\n210    این شرکت، شرکت زیرمجموعه\\u200cای با نام روماک ارتبا...\\n211    به شرکت شبکه افزار رو به روی پارک لاله مراجعه ...\\n212    دو مرحله مصاحبه وجود داشت. یکی فنی که یک سوال ...\\n213    من برای فرصت کاری دیجیتال مارکتینگ دعوت شدم و ...\\n214    از لحظه تماس گرفتن برای جلسه مصاحبه و تا خود م...\\n215    سلام روی جاب ویژن رزومه ارسال کردم (البته چند ...\\n216    بعد از ارسال رزومه و تماس با بنده، مراجعه کردم...\\n217    مصاحبه\\u200cاش حدود ۵ مرحله داشت مرحله اول سوالات م...\\n218    اول اینکه خوشون رزومه رو تو سایت ایران تلنت پی...\\n219    دو مرحله مصاحبه داشت البته من هر دو مورد رو حد...\\n220    اصلا گول ظاهر شرکت رو نخورید. به ظاهر اسم دانش...\\n221    چیزایی که توی اگهی بود رو کمابیش بلد بودم و رز...\\n222    بعد از تماس با بنده و حضور در محل شرکت در این ...\\n223    شرکت بسیار مناسب و حرفه\\u200cای است البته من در آزم...\\n224    اول اینکه شک نکنید وارد محیط میشید تو ذوقتون م...\\n225    شرکت بسیار معقول و حرفه\\u200cای به نظرم رسید، بخصوص...\\n226                   مدیریت بسیار بد / سیستم\\u200cهای قدیمی \\n227    کلا سه ماه در این مجموعه کار کردم مدیر عامل حق...\\n228    این شرکت مصاحبه که میرین اصلا نمیپرسه واسه چه ...\\n229    صاحب و مدیر شرکت فردی بی تجربه و جوان که به پش...\\n230    تجربه همکاری ۱ ساله در زمینه تولید محتوا برای ...\\n231    مزیتی که برای این شرکت میشه در نظر گرفت دانش و...\\n232    مصاحبه ۳ مرحله کلی داشت. که تو هیچکدوم به طور ...\\n233    شرکت بسیار کوچک و مدیریت سنتی اداره میشود. بیم...\\n234                   بهترین محیط کاری که میشه تجربه کرد\\n235    اول talent acquisition coordinator تماس گرفتن،...\\n236                  احمقانه\\u200cترین جایی کهرمیتونی کار کنی\\n237    من دو روز در این شرکت کار کردم بعد از دو روز ش...\\n238    من در طول ۵ سال سابقه کارم در خیلی شرکتهای خصو...\\n239    به من وعده حقوق ساعتی ۱۱ تومن دادن ولی سر ماه ...\\n240    من یک سال در این موسسه پشتیبان بودم. سیستم به ...\\n241    در مدت کارم در این شرکت یکی از دروغ گو\\u200cترین و ...\\n242    شرکت کاملا جعلی با مدیر کلاهبردار که حقوق کارم...\\n243    در سالهای قبل یارا مجموعه\\u200cای از افراد موفق و ب...\\n244    تاپ ادورت مجموعه\\u200cای بود تماما جوان، پویایی و ج...\\n245    به مدت تقریبا سه سال ترکیبی از دورکاری و کار د...\\n246    محیط دوستانه و خوبی بود، من یک پروژه براشون ان...\\n247    کار در این شرکت برای مهندسان جوان تجربه خوبی خ...\\n248                                     از هر حیث عالی …\\n249    شرکت نرم افزاری فرداد یک شرکت استارتاپی با حما...\\n250    من به عنوان یک موشن گرافیست با این مجموعه کار ...\\n251    این شرکت یکی از بدترین و در عین حال جالبترین ت...\\n252                         تازه تاسیس با نگاهی به آینده\\n253    حدود ۴ سال میشه که از تجربه همکاری با لتکا لذت...\\n254    قبل از هر چیزی نسبت به این شرکت تحقیق کنید. بد...\\n255    اصلا شرکت به درد بخوری نیست، مدیریت داغونی دار...\\n256    یکی از سایت هایی هست که خیلی زود آگهی\\u200cهای رایگ...\\n257    خاطرات روزای کاریمو اینجا نوشتم فکر کنم به درد...\\n258    یک مرحله تماس تلفنی و پرسیدن چند تا سوال ساده\\u200c...\\n259    من به عنوان کارشناس crm استخدام شدم، اما کارم ...\\n260    بسیار شرکت خوب و موفقی هست. چند ماه هست که با ...\\n261    این شرکت برای استخدام شما یکسری تست قرار داده ...\\n262    اصلا شرکت خوبی برای کار نیست فقط به خودشون اهم...\\n263    مصاحبه در دو مرحله انجام شد که هردو با سرپرست ...\\n264    حمیم شرکت خیلی کوچیکیه، تعداد کارکنان به زور ب...\\n265    لینووا جوان و پر انگیزه است، روی فناوری\\u200cهای جد...\\n266    چندین بار تماس گرفتم ولی در نهایت حاضر به پردا...\\n267    مدیریت ضعیف، بسیار ضعیف، بعضی از سنیور\\u200cها حقوق...\\n268    از تجربه سالهائی که در این شرکت کار می\\u200cکردم , ...\\n269    شرکت بزرگی نیست ولی تیم حرفه\\u200cای و باشخصیتی هست...\\n270             شبکه\\u200cهای کامپیوتری سیستم\\u200cهای نظارت تصویر\\n271    شرکت به نسبت کوچک است. محیطی صمیمی ولی حرفه\\u200cای...\\n272    می\\u200cتونم بگم بدترین تجربه کاری عمرم بود. برنامه...\\n273    مدت کوتاهی به عنوان طراح وب توی این شرکت مشغول...\\n274    دو مرحله مصاحبه انجام دادم. چون در دوران کرونا...\\n275    این شرکت در کل شرکت متوازنی نیست. اما تصمیم بر...\\n276    همکاری با این گروه برای من مثل لیمو شیرین بود....\\n277    تنها نکته مثبتی که در زمان کوتاهی که در این مج...\\n278    قبل از اینکه وارد شرکت داتین ساختمان ناهید شرق...\\n279    سلام برای موقعیت شغلی تجربه کاربری UI & UX درم...\\n280    من برای سمت حسابدار به این شرکت رفته بودم. خود...\\n281    تیم فنی بسیار حرفه\\u200cای، مدیریت بسیار باشخصیت و ...\\n282    مدیریت ناهماهنگ، پرداخت حقوق با تاخیر. موظف به...\\n283    شرکت به هیچ عنوان استیبل نیست. همین قدر بدونید...\\n284    ناهماهنگی بین تیم\\u200cها و رویکرد استفاده\\u200cی حداکثر...\\n285    بی نظم پرداخت شدن حقوق-عدم پرداخت کامل حقوق مخ...\\n286    کاموا شرکتی که به شما امکان پیشرفت، دوستان خوب...\\n287    تجربه کاری من در شرکت محدود به سمت تعیین شده ن...\\n288    افتضاح. از ساعت کاری گرفته تا هماهنگی و … برخو...\\n289    یکی از بهترین تجربه\\u200cهای من در این مجموعه بود و...\\n290    اگر می\\u200cخواین تجربه عشق\\u200cهای مثلثی توی فیلم\\u200cها ر...\\n291    طی مدت همکاری تقریبا طولانی با آرشین تقریبا هم...\\n292    گفتن تمام تیم ما سینیور هستن حتی بچه\\u200cهای پشتیب...\\n293    باهام تماس گرفتند و مصاحبه خیلی خوب ست شد. مسئ...\\n294    اوایل برای من تجربه کاری جذابی بود ولی به مرور...\\n295    من با این مؤسسه در زمینه تأمین محتوا به صورت د...\\n296    من یک مدت شرکت دفراز بودم تقریبا ۴ سال پیش. او...\\n297    شرکت بی اندازه شلوغ و بی نظم و بهم ریخته است. ...\\n298    خب به نظرم این شرکت نیروهای حرفه\\u200cای کم نداره و...\\n299    محیط بسیار سالم، آرام و به دور از حاشیه. مدیری...\\n300    مصاحبه من تک مرحله بود، به این شکل که به شرکت ...\\n301    این مجموعه مدیریتی بسیار ضعیف، یک دنده، دنبال ...\\n302    من یه c++کار تو مهسان هستم ما تو مهسان دستاورد...\\n303    بهتره مدیریت از پست خود استعفا و به شغل معروف ...\\n304                                    یک تجربه خیلی خوب\\n305     من به عنوان کارشناس فروش به این شرکت رفتم در ...\\n306    مدیریت قوی و به روز، حقوق و مزایا به موقع پردا...\\n307    من از اصفهان اومدم برای این مصاحبه وقتی رسیدم ...\\n308    من برای مصاحبه اول رفتم از یک سایت کاریابی که ...\\n309    حدودا فک میکنم دو ماهی از مصاحبم توی یکتانت می...\\n310                                                  nan\\n311    یک محیط کاملا پویا با مدیریت عالی و استثنایی ح...\\n312    من توی سه مرحله مصاحبه شدم. که البته شخص اول ه...\\n313             یکی از بهترین شرکت هایی که توش کار کردم.\\n314    شرکت کیلید محیط دوستانه و جو سالمی دارد ولی به...\\n315    جمعی از جوانان که از نظر فنی تیم خوبی بودن. مح...\\n316    مدیر بدون اطلاع قبلی تاخیر داشتن و نهایتا بدون...\\n317    دو سالی مشغول به کار بودم که برای پیشرفت کسی ک...\\n318    مدیریت این مجموعه فوق العاده به روز هستند و مد...\\n319    بشدت مدیریت مزخرفی دارن. نقاط ضعف زیادی داری و...\\n320    به نظرم توی هر مجموعه\\u200cای همه مثل مدیر یا مدیرا...\\n321    مصاحبه بیشتر از پنج دقیقه طول نکشید ی برگه دست...\\n322    شرکت ره آورد یا به اصطلاح مدیرش (!) شرکتیه که ...\\n323    تجربه مصاحبه از لحاظ رفتار و تسلط کلامی مصاحبه...\\n324    مصاحبه اول ۱ ساعت منتظر مصاحبه کننده موندم برا...\\n325    شرکت مامان پز محیط بسیار مناسبی است جهت افزایش...\\n326    کارمندا رقابت حسودانه\\u200cای با هم دارن، مدیریت ضع...\\n327    شرکت کاملا خانوادگی هست و اگر بخواین حتی قوانی...\\n328    من چندین روز به صورت تستی رفتم و تجربه خودم رو...\\n329    در ابتدای کار خوب بنظر میاد ولی ماه اول که گذش...\\n330    متاسفانه حجم کار موجود با تعداد نیرو همخوانی ن...\\n331    من در این شرکت در بخش it شرکت کار کردم بسیار م...\\n332    بهینه پرداز مثل اولین خونه حرفه\\u200cای من محسوب می...\\n333    دوان یه مجموعه فروشگاه هست، که یه تعداد مدیر ن...\\n334    بدترین تجربه کاریم تا به این روز بوده با گذشت ...\\n335    در این شرکت فقط شعار تیم وورک از در و دیوار به...\\n336    ااگه کارمند با انگیزه و مشتاقی خودتون رو نشون ...\\n337    عمیقا امیدوارم که در زمان نوشتن این نظر این شر...\\n338    بهترین تجربه کاریم هستش خیلییییییییییییییییییی...\\n339    دادسان یکی از بهترین محیط\\u200cهای کاریه که دیدم. م...\\n340    بیش از یک سال تجربه\\u200cی کاری با همکاران محترم شر...\\n341    من به مدت حدود شش سال در این شرکت مشغول بوده\\u200cا...\\n342    فشار کاری در این شرکت بسیار زیاد بود و هیچ ارز...\\n343    تجربه\\u200cای که از همکاری با این تیم داشتم این بود...\\n344    یک تجربه کاری خیلی خوب و لذت بخش، با همکارهای ...\\n345    این شرکت طبق تجربه بنده هیچ هدف خاصی نداره. مج...\\n346    سال اول همکاری\\u200cمون خیلی خوب بود، ولی مدیریت اف...\\n347    لیمویی قطعا یکی از بهترین جاهایی بوده که من تو...\\n348    این شرکت اولا قرارداد یک ماهه میبنده بعدش هم م...\\n349    من چند سال در شرکت ایران دوستان کار می\\u200cکردم. ب...\\n350    اولین روزی که آگهی استخدام دیدم با خودم گفتم ا...\\n351    یه بار روز اول بود با یه خانومی که تمامی دکور ...\\n352    ۴ ماه با شرکت نردبان اندیشه کار کردم به جد بدت...\\n353    عدم پرداخت به موقع حقوق گاهی هم کلا حقوق پرداخ...\\n354                                                  nan\\n355                  ببیشتر انظباط کاری لازم داشته باشید\\n356    من ۵ سال در این شرکت کار کردم. در محل کار صحبت...\\n357    مدیر کاملا بی سواد و نالایقی داره. کسی که نحوه...\\n358    اونجا عملا توی اون واحد آی تی بچه\\u200cها سرور آرشی...\\n359                                                  nan\\n360    بنده بعد از ارسال رزومه و تماس، برای مصاحبه مر...\\n361    به عنوان توسعه دهنده در این شرکت مشغول به کار ...\\n362    بزرگترین مشکل این شرکت، مدیریت به شدت ضعیف و د...\\n363    (البته ذکر کنم که من رزومه نفرستاده بودم، خودش...\\n364    مصاحبه\\u200cای که با ادیلار داشتم خیلی عجیب بود! یه...\\n365    برای هر دانشجوی رشته فناوری اطلاعات و رشته\\u200cهای...\\n366    یک شرکت در حوزه واردات و توزیع است و در نتیجه ...\\n367    برای برنامه نویس فرانت-اند رفته بودم که دفتر ش...\\n368    بعضی از مدیرانی که به سبب بی سوادیشون مجموعه ب...\\n369    من به هیچ عنوان کار کردن در این موسسه رو پیشنه...\\n370    بعد از چند سال سابقه کار در این شرکت استخدام ش...\\n371    من اینجا برای موقعیت مدیر فنی رفته بودم. ساختم...\\n372    کلا کارمندا و کارکنانش رو انسان فرض نمیکنه. کا...\\n373                               محیطی آرام و بی دغدغه.\\n374    مدیریت شرکت کاملا بی فکر و برنامه پیش میره و ا...\\n375     متاسفانه چیزی که در شرکت کدایران موج میزد سوء...\\n376    اولین جایی که مشغول شدم این شرکت بود، شرکت خوب...\\n377    حدود ۵ سال در معاونت فناوری اطلاعات (فاوا) بان...\\n378                                                    *\\n379    اگه دنبال جایی هستید که حقوق و مزایای خوبی در ...\\n380    تاخیر حقوق زیاد بی برنامه گی و ضعف مدیریت کار ...\\n381    افتضاح … به محض ورود با خانمی مواجه میشوید که ...\\n382    من برنامه نویس بودم اینجا و متاسفانه در شغلم ه...\\n383               تجربه کاری پر از موفقیت و یادگیری دارم\\n384    ثبت ملاصدرا توی اکثر شعب فقط با خانم\\u200cها تو بخش...\\n385    خوب نکاتی که اینجا میگم خیلی نکات مهمی هست که ...\\n386    بزرگترین حسن شرکت رامک ایجاد فضای عالی برای یا...\\n387                                                  nan\\n388    پروژه\\u200cهای مختلفی در طول دوران کاری انجام میدید...\\n389    متاسفانه از زمانی که شرکت از sister companyخود...\\n390    بورسیکا عملا یکی از ۵ فروشگاه برتر اینترنتی ای...\\n391    کل فرایند مصاحبه یکماه طول کشید! بله یکماه زما...\\n392    حدود یک سال هست که به عنوان کارشناس پشتیبانی د...\\n393    برای شروع همکاری ۷۰ میلیون تومان سفته بدون قید...\\n394    حقوق پایین و پرداختی دیر و اکثر مواقع با تاخیر...\\n395    ادامه: جالبه بعد از یک ماه تماس گرفتن دوباره ا...\\n396    از طرف این شرکت تماس گرفتن و گفتن مصاحبه حضوری...\\n397    مرحله اول مصاحبه به این صورت انجام شد که دو نف...\\n398                                                    .\\n399    فرهنگ سازمانی کمی خشک هست. بیمه از ماه سوم برا...\\n400    سیاست این شرکت به این صورته که نیروهای تازه کا...\\n401    من یک سال در این شرکت مشغول بودم و اولین تجربه...\\n402    مدت زمانی که اونجا بودم از لحاظ تجربه کاری، خی...\\n403    جایی که به عنوان کارشناس مرکز تماس کار می\\u200cکردم...\\n404    تجربه چند ماه فعالیتم در اطلس رایا باعث شد که ...\\n405    شاید باورتون نشه که حتی ساعت کاری رو به شما در...\\n406                                                  nan\\n407    مدیرش آدم خوبیه و در مواقع ضروری به ادم واقعا ...\\n408    بسیار رفتار مدیریت با کارمندان بد و به دید برد...\\n409    خیلی تلاش کردن که شرکت رو بهتر کنن گروه فرهنگی...\\n410    شرکت ایسیکو یکی از شرکت\\u200cهای زیرمجموعه ایرانخود...\\n411    با سلام دوستان کار این شرکت این هست که میره تو...\\n412    من یک مصاحبه فنی داشتن به صورت آنلاین. مصاحبه ...\\n413    خصوصیات اصلی این شرکت عبارتند از: ۱- هدر دادن ...\\n414    با دو نفر از دوستان (راژمان) توی اسکایپ مصاحبه...\\n415    شرکت گلرنگ سیستم با حدود ۲۵۰ نفر پرسنل زیر مجم...\\n416    راژمان تیم\\u200cهای صمیمی\\u200cای داره که خیلی از بچه\\u200cها...\\n417    شرکت خوبه با اینکه کوچیکه ولی فرصت یادگیری و پ...\\n418                               هنوز بعد ۱۰ سال اینجام\\n419    سلام دوستان رزومه رو روی جاب ویژن ارسال کردم، ...\\n420    شرکت یا فقط کار می\\u200cکشند و حقوق ندارند که بدهند...\\n421    تجربه کارمندی توی این شرکت افتضاح بود. مدیریت ...\\n422    محیط دوستانه و در عین حال محترمانه\\u200cای داره. مد...\\n423    من یک سال در DCA Kala مشغول به کار بودم و بدلا...\\n424    یکی از چیزهایی که خیلی به چشم میخورد این بود ک...\\n425    حقیقتا من بیشتر با این شرکت به این خاطر همکاری...\\n426    به عنوان کارآموز محیط پویا و خوبی داشت. برخورد...\\n427    من تقریبا ۱ سال داخل رایان کار کردم. واقعیت ای...\\n428    این شرکت در بازه\\u200cهای زمانی مختلف آگهی کارآموز ...\\n429    واحد نیروی انسانی واحد سوهان روح به جای اینکه ...\\n430    بدترین شرکتی که کار کردم، بیمه\\u200cام رو رد نکردن ...\\n431    در کل شرکت نوپا و خوبی می\\u200cباشد. جو بسیار دوستا...\\n432                فرهنگ کاری رو دارن بسیار با ادب هستند\\n433    هر روز سر وقت بدون دقیقه\\u200cای تاخیر باید در محل ...\\n434    اگه انسان رو دارای حق انتخاب می\\u200cدونید توماکس ج...\\n435    با سلام من روی جاب اینجا رزومه ارسال کردم و با...\\n436                          محیط شرکت بسیار خشک و مذهبی\\n437    من دوران را دوست میدارم طیف وسیعی از پروژه\\u200cهای...\\n438    از لحاظ پرداخت حقوق و عیدی و پاداش، به موقع و ...\\n439    فروتل شرکت خوب و قدیمیه سال پیش هم دانش بنیان ...\\n440    شرکت درسا، شرکتیست برای یادگیری و ورد به بازار...\\n441    ۶ سال در این شرکت کار کردم و تجربیات خیلی خوبی...\\n442    در شرکت درسا رسانه هوشمند محصولی در رابطه با م...\\n443    شما در این شرکت استرس شرکت\\u200cهای استارت آپی را ا...\\n444    من ۶ ماه توی این شرکت کار کردم. جلسات هفتگی تی...\\n445    ما اونجا روی پروژه\\u200cهای بزرگی کار کردیم و مشتری...\\n446    اگه بتونین حقوق بگیرین ازشون حتما یه اتفاق بدی...\\n447                                                  nan\\n448    من حدود ده سال پیش اونجا بودم و بعد از ده سال ...\\n449    من برای کارآموزی لاراول از طریق سایت\\u200cهای کاریا...\\n450    واقعا پشیمونم از رفتن به اونجا واسه مصاحبه …. ...\\n451    من سال ۹۶ در این شرکت کار میکردم اصلن اسم اینج...\\n452    هیچوقت همچین اشتباهی نکنید که وارد این به اصطل...\\n453    در اینتن فرصت دارید برای آنکه پیشرفت کنید و از...\\n454    مصاحبه با دیجی کالا واسه من دو مرحله بوده اول ...\\n455    مصاحبه دیجی کالا چند مرحله\\u200cای است و مرحله اولش...\\n456    فضای کاری ای کاملا صمیمانه و مسطح داره به طوری...\\n457    افتضاح من یک سال در دیجیکالا و در واحد تولید م...\\n458    محیط بسیار حرفه\\u200cای و آرام فضایی بر اساس تجربه ...\\n459    اینتن با جو صمیمی و خوبی داشت خیلی چیزها به من...\\n460    محیطی صمیمی و پویا که از کار در این شرکت خسته ...\\n461    به نظرم در کل دیجی\\u200cکالا جای بسیار خوبی برای کا...\\n462                                                  nan\\n463    به عنوان برنامه نویس به صورت یک هفته اونجا کار...\\n464    مصاحبه ۲ مرحله داشت. در مرحله اول با استراتژیس...\\n465    تپسل یکی از پیشروترین و به روزترین شبکه\\u200cهای تب...\\n466    من به عنوان برنامه نویس ارشد جاوا در این شرکت ...\\n467    بله تپسل شرکت نام آشنایی هست. من هم با کلی شوق...\\n468                                                  nan\\n469    ۷سال سابقه کاری دارم و شرکت پیمان پردازش نیام،...\\n470         پسیو شبکه.. نصب لینک.. نصب دوربین.. کابل کشی\\n471    محیط کاری سرد و خشک، عدم پرداخت به موقع حقوق (...\\n472    من به صورت رسمی از سال ۱۳۹۳ کارمند شدم و در ای...\\n473    چیزی که همیشه من رو متعهد و علاقمند به دهگردی ...\\n474                                                     \\n475    از تجربه کاری ای که در آسان پرداخت کسب کردم را...\\n476    پلتفرم هوشمند نیلسو (شرکت روزنه هوشمند تجارت) ...\\n477    شرکت پیشرویی در زمینه پرداخت هست (نسبت به تمام...\\n478    مجموعه مدیریت بسیار ضعیف، احساساتی و بی ثباتی ...\\n479    بدترین فضای کاری با مدیر\\u200cهای بسیار بی شخصیت که...\\n480    محیط بد این شرکت از اولین روز تو ذوق می\\u200cزد. دع...\\n481    آژانس دارت از آژانس\\u200cهای بزرگ و شناخته شده در د...\\n482    متاسفانه تجربه بدی با این شرکت داشتم. درمورد ب...\\n483    واقعا یکی از بدترین مدیرایی که یک مجموعه میتون...\\n484    ملاقات\\u200cهای بی مورد تیم فنی با مشتری\\u200cها / شرکت ...\\n485    من به عنوان برنامه نویس اینجا کار کردم تو شرای...\\n486    سلام فقط میتونم بگم اگر با این شرکت همکاری داش...\\n487    بعنوان برنامه نویس فرانت-اند برای مصاحبه رفته ...\\n488    اونجا بدترین مشکلش باند بازی بود، و هر کس خوشگ...\\n489    فرهنگ غالب شرکت رو دوست دارم. کار تیمی خوبی دا...\\n490    مدیر مستقیم من توی شرکت خیلی خوش برخورد ولی در...\\n491    به شدت فاجعه بود … یک شرکت خصوصی کاملا بی\\u200cسروت...\\n492    رنج حقوق\\u200cها پایینه … عمدتا حدود وزارت کار … بی...\\n493    تجربه مصاحبه وارد ایرانمهر شدم و بعد از معرفی ...\\n494    تجربه خوبی در فرایند مصاحبه بود و مسول این حوز...\\n495    کلا مرحله نداشت، خیلی راحت همکاری شروع شد سوال...\\n496    حدود ۴ سال است استخدام اینجا هستم شرکت قدیمی د...\\n497    در حوزه مدیریتی سازمان با مشکلات زیادی دست و پ...\\n498    در رابطه با نکات مثبت و منفی شرکت در قسمت نکات...\\n499    سلام من مدت ۳ ماه در این شرکت کار کردم محیط کا...\\n500    من با دو نفر در این شرکت مصاحبه فنی داشتم و نه...\\n501    من به عنوان کارشناس دیجیتال مارکتینگ با مدیر م...\\n502     وارد کننده و به روز کننده محصولات در سایت دکانچه\\n503    محیط به دلیل اینکه در مجموعه آژانس هست کمی شلو...\\n504                              احساس خیلی راحتی داریم.\\n505    من دو سال پیش در این شرکت با کلی وعده و قول و ...\\n506    مصاحبه در یک مرحله برای من انجام شد و ۳ نفر حض...\\n507    من مدت ۹ماه توی علی بابا مشغول به کار بودم و ت...\\n508    به لحاظ شرایط کاری و کسب تجربه کاری برای افراد...\\n509    در این سازمان همه حتی افراد سطوح ۴ و ۵ مجموعه ...\\n510    ۳ تا مرحله مصاحبه داشت: \\u200c - مصاحبه فنی - مصاحب...\\n511    حدودا یک ماه هست که به عنوان توسعه دهنده برای ...\\n512    مزیت مهم کار کردن در این شرکت است. تمامی همکار...\\n513                                                    -\\n514    بنده به مدت دو سال در این شرکت مشغول به کار بو...\\n515                                      تیم بسیار صمیمی\\n516    اول از همه جو خیلی ناسالمه، فضای کار به شدت شل...\\n517    اولین چیزی که وارد شرکت میشین براتون جلب توجه ...\\n518    من دو تا مصاحبه رفتم یکی گپ با مدیر فنی و یکی ...\\n519     جای هست. به المان\\u200cهای طراحی به خوبی دقت شده، ...\\n520    سوالات مصاحبه بسیار چیپ و ساده، مصاحبه\\u200cها تقری...\\n521    ۵ کارت روی میز گذاشتن و از من خواستن دو تاشو ا...\\n522    مصاحبه نیروی انسانی بیشتر از ۲ دقیقه طول نکشید...\\n523    بدترین تجربه کاری من بود، جو خاله زنکی، و مدیر...\\n524    در مصاحبه در مورد روزهای کاری و مبلغ توافقی کر...\\n525    من در زمانی وارد این شرکت شدم که زیرساخت نابود...\\n526    ببه قول خودشون منو از بین ۵۰ نفر انتخاب کردن و...\\n527    با چندین رئیس استارتاپ\\u200cهای اینجا صحبت داشتم. ه...\\n528    اقامت ۲۴ یک زمانی رهبر بازار هتل در ایران بود ...\\n529                               سیستم مدیریتی ناکارآمد\\n530    قراردادی که با کارمندان بسته می\\u200cشود کاملا یک ط...\\n531    من تجربه همکاری بلندمدتی رو در چارگون داشتم نظ...\\n532    نظرات همه دوستان رو تایید میکنم. چون واقعا چار...\\n533    جو دلگیر و قدیمی با آدم\\u200cهای اکثرا تحت فشار و ن...\\n534    مدیریت بسیار با دانش و با انگیزه باعث شده که ا...\\n535    فشار روحی و کار زیاد - حقوق وزارت کار - پارتی ...\\n536    چارگون از نظر فرهنگ کاری و محیط کاری به نظرم ج...\\n537    زمان مصاحبه که رفته بودم حرف از تکنولوژی\\u200cهای ر...\\n538    با تأیید همه تجربه\\u200cهای بد که دوستان اشاره کردن...\\n539    سه سالی هست که تو چارگون ام، واقعا فشار کاری ز...\\n540    سلام و عرض ادب خدمت دوستان با توجه به اینکه چا...\\n541    من نزدیک به دو سال در این شرکت مشغول بودم. به ...\\n542    نظراتو خوندم تعجب کردم. حدود یک سال و نیم هست ...\\n543    شرکت طی سال\\u200cهای ابتدایی خود چالش\\u200cهای زیادی داش...\\n544    تو این مدتی که من در شرکت بودم امنیت شغلی را ک...\\n545    ۱) مدیران بسیار ضعیف و بی سواد ۲) محیط کاری بس...\\n546    این شرکت پروژه\\u200cهای دولتی زیاد داره برای همین ط...\\n547    بنده مدت زیادی در این شرکت مشغول بودم و کار خو...\\n548    ۱- سو مدیریت شدید و اخلاق غیر حرفه\\u200cای ۲- مدیرا...\\n549    ۱. عدم وجود هدف در انجام کارها ۲. عدم پرداخت ا...\\n550    شرکت محیاپرداز فقط جای رشد برای مدیرعاملش هست ...\\n551    اسم محیاپرداز رو همیشه میتونید داخل آگهی\\u200cهای ا...\\n552    من چند سال پیش یه تجربه تلخ و ناموفق اینجا داش...\\n553    شرکت محیاپرداز اهمیتی به پرداخت حقوق کارمند نم...\\n554    بدترین جایی بود که کار کردم و به خاطرش خیلی ضر...\\n555    این شرکت توی پارک علم و فناوری یزد هست نه تهرا...\\n556    شرکت محیاپرداز شرکتی متلقب و دغلکار هستش که هم...\\n557    اول از همه شرکت در واقع در یزد ثبت شده و همون ...\\n558    اول که زنگ زدن آدرس دادن کلی طول کشید تا پیداش...\\n559    بهر حال هر کس باید از یه جا شروع کنه اما حیف ع...\\n560    حدود ۲ سال هست که در این شرکت مشغولم - سال گذش...\\n561    این شرکت متاسفانه به حدی ضعف مدریت داره که حال...\\n562    من بیشتر از یکسال با این تیم کار کردم. فکر میک...\\n563    حقوق\\u200cها کاملا بی موقع و دیر داده می\\u200cشود برخورد...\\n564    با توجه به ماهیت استارت\\u200cآپی دارای ضعف هایی در ...\\n565    فشار کاری بسیار زیاد. از بیرون زیبا ولی در اصل...\\n566    میشه در یک کلام گفت. ضعیف. و هیچ تلاشی برای بر...\\n567    مصاحبه ۴ مرحله داشت اول جلسه اسکایپی بود که به...\\n568    به نظرم جای مناسبی نیست و اصلا به کارکناش اهمی...\\n569    چند سال پیش نیاز به برنامه نویس گولنگ داشتن که...\\n570    از طریق سایت شرکت رزومه ارسال کردم گفته بودن ن...\\n571    اینجا همون جاییه که می\\u200cتونی پیشرفت کنی. همه اب...\\n572    شرکتی نیست که بتونم به کسی پیشنهادش کنم مگر ای...\\n573    من به شخصه تبریک میگم به اروان با این تبلیغات ...\\n574    برای برنامه نویس وب سایت رفته بودم دو مصاحبه د...\\n575    چند ماهی اینجا کار کردم. وقتی معرفیم کردن همه ...\\n576    من حدود ۲ سال در کارینا مشغول به کار بودم، تجر...\\n577    تقریبا به مدت یکسال به عنوان system admin تو و...\\n578    کارینا یک شرکت خوب با نیروهای کار پرانرژی و با...\\n579    به مدت حدودا ۱سال مشغول کار بودم که به دلیل اس...\\n580    هم دلی و گرم بودن فضای کاری در تیم\\u200cها وجود دار...\\n581    در مدت کوتاهی که در این شرکت بودم شاهد این بود...\\n582    من به عنوان یه sysadmin جونیور وارد شرکت شدم. ...\\n583                                                    ؟\\n584    رفتم مصاحبه، کلا سوالات فرانت\\u200cاند پرسیدن ازم، ...\\n585    من برای مصاحبه\\u200cای بک اند دولوپر در بهار سامانه...\\n586    نه چیزی تو روند کار یاد میگیرین نه برخوردشون م...\\n587    من ۹-۱۰ نفر دیگه بعنوان نیروی فنی و پشتیبانی ز...\\n588    اولش کلی وعده دادن و قرار شد وب سایت شرکت رو ط...\\n589    این شرکت کارش اینه ۲ روز یکی رو استخدام می\\u200cکنه...\\n590    تا بحال دوبار توی این شرکت مصاحبه داشتم و تا م...\\n591    تعداد مراحل رو نمیدونم دقیقا، ابتدا بعد از دید...\\n592    بنده در دوره آزمایشی یک وب سایت برای این شرکت ...\\n593    شرکت خیلی خوبی هست اگر می\\u200cخوایید یه زندگی کارم...\\n594                                      تجربه بسیار خوب\\n595                                                  nan\\n596                                           محیط پویا \\n597    اولین جایی هست که به طور واضح حرف کلام در مدیر...\\n598    شرکت فوق العاده ایه محیط کاملا دوستانه همه در ...\\n599    فضای کاری دوستانه است و خسته کننده نیست. ولی ب...\\n600    شرکت کوچک و خیلی بده هست ک کوچکترین چیزا در مو...\\n601    یه دفتر کوچک در حد ده مترم نیست که در یک ساختم...\\n602    افراد با استعدادی داخل طاقچه کار می\\u200cکنند ولی م...\\n603    سیکل بشدت معیوب، ضعیف و دل بخواهی مدیریت که به...\\n604    این شرکت جو خیلی بدی داره و کاملا شبیه به پادگ...\\n605    یکی از بزرگ\\u200cترین مشکلاتی در حوزۀ کاری ERP و به...\\n606    استرس و فشار کار بالایی دارن با حقوق پایین توق...\\n607    محیط آروم و حرفه\\u200cای داره و من از کار در این مح...\\n608    به شما قراردادی داده نمیشه اضافه کار با روش خو...\\n609    در ابتدا به شما قرارداد را نمیدهند و سفته هایی...\\n610    من به مدت ۳ سال در حصین کار کردم (شرکت نوین تل...\\n611    فقط در یک کلمه: واقعا افتضاح. مدیریت فله\\u200cای و ...\\n612    تخفیفان یعنی فراموشی زندگی شخصی، یعنی قبول وعد...\\n613    با کار در تخفیفان زندگیتون رو از دست میدید است...\\n614    من حدود یک ساله توی این شرکت توی بخش برنامه نو...\\n615    محیط بسیار دوستانه و پویا، با کارمند جوان و پر...\\n616                                     محیط انعطاف پذیر\\n617    همیشه یک سری تارگت داشتیم که بیشتر شبیه توهم ب...\\n618    تقریبا هر روز پیشرفت توی زمینه کاریم رو احساس ...\\n619    مصاحبه کاملا عملی بود که من خیلی دوست داشتم سا...\\n620    اگرچه شرکت ستایش فوق العاد بی نظم بود برنامه ک...\\n621    زمان مصاحبه با چهره\\u200cای متشخص و با رویی گشاده ا...\\n622    شرکت ستایش واقعا یکی از بدترین تجربه\\u200cهای شغلی ...\\n623                                                    -\\n624    مدیران به شدت کم درک و افتضاحی دارند و مناسب ف...\\n625    سلام متاسفانه ایرانی بودن و تحریم گویا همه چیز...\\n626                                                  nan\\n627    این شرکت یک زمانی یکی از بهترین و قوی\\u200cترین شرک...\\n628    من بعنوان نیروی فنی با این مجموعه همکاری داشتم...\\n629    تنها می\\u200cتوان گفت تنها وعده\\u200cهای پوشالی و اغوا ک...\\n630    استرس، استرس، عدم توجه به نیاز\\u200cها، بحث عای الک...\\n631    مدیریت مجموعه در ابتدا با صحبت\\u200cهای پوشالی، قصر...\\n632    اگه به شغلتون خیلی علاقه ندارید و یا دنبال کار...\\n633                                                  nan\\n634    سه مرحله مصاحبه داشت. مصاحبه اول که مصاحبه فنی...\\n635    همکاران سیستم جای خوبی برای کار کردن هست. معمو...\\n636    بیشترین احساسی که غالب هست و میتونم در موردش ب...\\n637                                                  nan\\n638    با ۳ نفر در ۳ جلسه مختلف مصاحبه داشتم. فنی و ا...\\n639    ۳ سال و ۶ ماه تجربه کار تو شرکت داده پرداز را ...\\n640    من بعنوان یک فرد تازه کار در سمت backend استخد...\\n641     از همه منزجر کننده\\u200cتر در این شرکت سخنرانی حما...\\n642    من تازه از خدمت سربازی تمام شده بود و قبلا به ...\\n643    با تمام وجود متنفرم از این سازمان. کار بیش از ...\\n644    من دوتا مرحله مصاحبه رفتم. مرحله اول یه آقایی ...\\n645    رفتم مصاحبه شرکت تدبیر کیش ویرا و ۲ مرحله باها...\\n646    من نزدیک دو سال در این شرکت کار کردم پول بیمه ...\\n647    بخوام رو راست بگم یه شرکت دیزاین محور بوده که ...\\n648    با نظرات دوستان قبلی مبنی بر ضعیف بودن مدیریت ...\\n649    شرکت به هیچ وجه ارزش کار رو نمیدونه و همچنین د...\\n650    این شرکت محیط کاری فوق\\u200cالعاده خوبی داره در حدی...\\n651    ژاکت از نطر من ۳ مشکل اساسی داره که همه مشکلات...\\n652    بدترین شرکتی که ممکنه توش کار کنید احتمالا ژاک...\\n653    با وعده\\u200cهای سر خر من سعی در جذب شما دارن بعد ک...\\n654    ژاکت متاسفانه مدیرعامل خیلی بدی داره. سابقه مد...\\n655     که به شدت در کار تیم فنی دخالت کرده و بعضا نظ...\\n656    مصاحبه اولم با یکی از کارشناسای منابع انسانی ب...\\n657    اسنپ نمونه دقیق از دور دل میبره و از جلو …. مت...\\n658    اسنپ به جرأت یکی از بهترین محیط\\u200cهای کاری ایران...\\n659    بدترین دوران کاری و بهترین دوران کاری من در اس...\\n660    مدیرانی که حقوق\\u200cهای نجومی میگیرند و بی کیفایتی...\\n661    اسنپ متاسفانه میشد خیلی بهتر و بزرگ\\u200cتر از این ...\\n662    واقعا شرکت بزرگ و خوبی هست بیش از ۳۰۰ نفر نیرو...\\n663    اولا من رزومه براشون ارسال نکردم اونا خودشون ب...\\n664    پرداختش حدودا ۲۰ درصد بیشتر از موقعیت\\u200cهای مشاب...\\n665    محیط شلوغ و پویایی داره ولی باید بتونی خودتو ب...\\n666    محیط فوق\\u200cالعاده صمیمی و دوست داشتنی ولی همین م...\\n667    طی یک سال کار اونجا حتی یک بار حقوق به موقع نگ...\\n668    اومدن به این شرکت بزرگترین اشتباه زندگی من بود...\\n669    این شرکت در ابتدا جز بهترین شرکت\\u200cها از نظر حقو...\\n670    شرکت بسیار نو پا و مدیریت بسیار ضعیف و بی تجرب...\\n671    شرکت نسبتا کوچیکه. حقوق هم خوب کلا کم میدن. اگ...\\n672    محیط بسیار کارمندان که بدون هیچ دلیلی با افراد...\\n673                                                  nan\\n674    اکثر بچه\\u200cهای واحد فنی حقوق پایه (حداکثر تا ۴ ت...\\n675    شرکتی با مدیریت اتوبوسی، محل مناسبی برای مدیرا...\\n676    - بسیار بی برنامه، - عدم شفافیت، - تبعیض، - تص...\\n677    این شرکت پابرجاست چون فقط ویترین نمایشی صندوق ...\\n678    مدیریت نالایق و رفتار بسیار زننده با کارمندان؛...\\n679    شرکتی که همایش در حمایت از طراحان اجرا میکند ا...\\n680    ادعای مدیران: سازمان حیاتی و قلب نرم افزاری آم...\\n681    من یکماه تجربه کاری در این شرکت داشتم. زمانی ک...\\n682    من ۴ ماه در این شرکت کار کردم البته سال قبلشم ...\\n683    نبود سرمایه گذار بزرگ نمایی و دور اندیشی\\u200cهای ب...\\n684    من در ابتدا با کارآموزی شروع کردم و الان خیلی ...\\n685    اگه میخوای وقتتو تلف کنی و حسرت بخوری که چرا و...\\n686    مشکلات انقدر زیاده که نمیدونم از کدوم قسمت شرو...\\n687    من سال قبل با این شرکت همکاری کردم و یک تجربه ...\\n688                                  عدد تجربه خوبی بود \\n689    من آگهی استخدام شرکت رو توی کانال تلگرام جادی ...\\n690    من به عنوان برنامه\\u200cنویس در عدد به مدت ۱ سال مش...\\n691                                                  nan\\n692    ممکنه حقوق دریافتی نسبت به سایر شرکت\\u200cها کمتر ب...\\n693    شرکت بسیار خوبیه برای فردی که دوست داره سرش تو...\\n694    شرکت متوسطی هست. مدیریت خوب و با اخلاقی داره. ...\\n695    شرکت خیلی خوبیه تنها اشکالش لختی در انطباق با ...\\n696    من با سابقه\\u200cی کاری کم وارد رایورز شدم. خوب کار...\\n697    از سال ۸۹ در این مجموعه مشغول به فعالیت هستم. ...\\n698    در طول همکاری با شرکت فراتک تجربه\\u200cها و فرصت\\u200cها...'"
      ]
     },
     "execution_count": 72,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 60,
   "metadata": {},
   "outputs": [],
   "source": [
    "token_text = text.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [],
   "source": [
    "token_text = list(set(token_text))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['115',\n",
       " '64',\n",
       " '650',\n",
       " 'ببینید',\n",
       " 'نزدیک',\n",
       " '190',\n",
       " '598',\n",
       " '358',\n",
       " 'فرهنگی...',\n",
       " 'چیپ',\n",
       " '587',\n",
       " 'کار/زندگیشرکت',\n",
       " 'رفتم.',\n",
       " 'جالبترین',\n",
       " 'لاله',\n",
       " '26',\n",
       " 'دلی',\n",
       " 'شغلم',\n",
       " '(...',\n",
       " 'استیبل',\n",
       " 'قوی',\n",
       " 'حیث',\n",
       " 'نکشیدی',\n",
       " '288',\n",
       " '220',\n",
       " 'بچه',\n",
       " 'ایران',\n",
       " '429',\n",
       " '517',\n",
       " 'عنوان...',\n",
       " 'عالیه',\n",
       " 'خواد',\n",
       " '388',\n",
       " '7',\n",
       " 'بودم',\n",
       " '237',\n",
       " 'بزرگی',\n",
       " 'چیزی',\n",
       " '458',\n",
       " 'کردم.',\n",
       " '166',\n",
       " 'هستمن',\n",
       " 'سوادیشون',\n",
       " 'مجموعه',\n",
       " 'درک',\n",
       " 'توصیه...',\n",
       " 'می\\u200cکنند',\n",
       " '428',\n",
       " 'پیشرفت',\n",
       " '۲)',\n",
       " 'متوسط',\n",
       " 'زبان',\n",
       " 'زیر',\n",
       " 'پادگ...',\n",
       " 'حمایت',\n",
       " 'آرومی',\n",
       " 'بع...',\n",
       " 'استخدام...',\n",
       " 'ترکیبی',\n",
       " 'دانشجوی',\n",
       " 'کسب',\n",
       " '174',\n",
       " '527',\n",
       " '482',\n",
       " 'کیش',\n",
       " 'تاشو',\n",
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       " 'زیبا',\n",
       " 'زیادی',\n",
       " 'عمل...',\n",
       " 'حوز...',\n",
       " '103',\n",
       " 'طبق',\n",
       " 'تجربه...',\n",
       " '142',\n",
       " 'رشته\\u200cهای...',\n",
       " 'داره.',\n",
       " '9ماه',\n",
       " 'زمینه',\n",
       " 'مدیریت',\n",
       " 'یزد',\n",
       " 'به...',\n",
       " 'لینکینگ',\n",
       " 'محصول',\n",
       " 'قراردادن',\n",
       " 'دید',\n",
       " 'محسوب',\n",
       " 'فرداد',\n",
       " 'بیگاری',\n",
       " '105',\n",
       " 'دقیقا،',\n",
       " 'هدف',\n",
       " '57',\n",
       " '...برخ...',\n",
       " 'است',\n",
       " '674',\n",
       " 'همشون',\n",
       " '697',\n",
       " 'واردات',\n",
       " 'شلو...',\n",
       " 'سوهان',\n",
       " 'شد...',\n",
       " 'افراد',\n",
       " '556',\n",
       " '262',\n",
       " 'تارگت',\n",
       " 'جور',\n",
       " '260',\n",
       " 'خانم',\n",
       " 'البته',\n",
       " '374',\n",
       " 'دیر',\n",
       " '472',\n",
       " '.\\\\n',\n",
       " 'داشتم.الب...',\n",
       " 'کارشناس',\n",
       " 'بوده',\n",
       " 'صبح',\n",
       " 'ویژ...',\n",
       " 'طراحی',\n",
       " '336',\n",
       " 'باید',\n",
       " 'سخت',\n",
       " 'پیشرفته',\n",
       " 'کاری،',\n",
       " 'فرانت-اند',\n",
       " 'زنکی',\n",
       " 'زد...',\n",
       " '204',\n",
       " '76',\n",
       " 'مشغولم.',\n",
       " '50',\n",
       " 'سرد',\n",
       " 'موج',\n",
       " '368',\n",
       " 'تیمی',\n",
       " '249',\n",
       " 'علاقمند',\n",
       " '251',\n",
       " 'فرمودند',\n",
       " '480',\n",
       " 'نکاتی',\n",
       " 'پردا...',\n",
       " 'عشق',\n",
       " 'نرم',\n",
       " '129',\n",
       " 'قدیمیه',\n",
       " '۱۳۹۸',\n",
       " 'شناخته',\n",
       " 'برخوردی',\n",
       " '83',\n",
       " 'عامل',\n",
       " '566',\n",
       " 'احساسی',\n",
       " 'یه...',\n",
       " '۱۳۹۳',\n",
       " '355',\n",
       " '658',\n",
       " 'رد',\n",
       " 'يكي',\n",
       " 'اسنپ',\n",
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       " 'مارکتینگسوشال',\n",
       " 'حوزه',\n",
       " 'رشته',\n",
       " '464',\n",
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       " '120',\n",
       " '466',\n",
       " 'پذیر\\\\n',\n",
       " '540',\n",
       " 'آم...',\n",
       " 'کامپی...',\n",
       " '545',\n",
       " '596',\n",
       " 'مدیرا...',\n",
       " 'داشت',\n",
       " '372',\n",
       " 'منو',\n",
       " 'واحدی',\n",
       " 'نالایقی',\n",
       " '\"بدون',\n",
       " '133',\n",
       " 'کنید.',\n",
       " 'بنده',\n",
       " 'راحتی',\n",
       " 'د...',\n",
       " '159',\n",
       " 'اش',\n",
       " 'ارتب...',\n",
       " 'شود',\n",
       " '439',\n",
       " 'استرس',\n",
       " 'پرداختش',\n",
       " 'خونه',\n",
       " 'نشون',\n",
       " '637',\n",
       " 'سوال...',\n",
       " '313',\n",
       " 'مزخرف',\n",
       " 'اولش',\n",
       " 'پرسنل',\n",
       " 'همکاری',\n",
       " 'هایی...',\n",
       " 'استارت\\u200cآپی',\n",
       " 'خسته',\n",
       " '646',\n",
       " 'پویایی',\n",
       " '224',\n",
       " 'خوبی',\n",
       " '629',\n",
       " 'جالب...',\n",
       " '652',\n",
       " 'مواقع',\n",
       " 'Travel',\n",
       " 'کردیم',\n",
       " 'ادم',\n",
       " 'اینتن',\n",
       " 'تدبیر',\n",
       " 'روز',\n",
       " 'متو...',\n",
       " '551',\n",
       " '201',\n",
       " '؟\\\\n',\n",
       " 'قدر',\n",
       " 'میکن...',\n",
       " 'خوببیشترین',\n",
       " 'ادعای',\n",
       " '345',\n",
       " 'نداره.',\n",
       " '49',\n",
       " 'من...',\n",
       " 'آشنایی',\n",
       " 'گرفتم',\n",
       " '/',\n",
       " '212',\n",
       " 'اونها',\n",
       " '92',\n",
       " '615',\n",
       " '626',\n",
       " '573',\n",
       " 'اما',\n",
       " '163',\n",
       " 'ادب',\n",
       " '295',\n",
       " '445',\n",
       " 'داخل',\n",
       " '508',\n",
       " 'دوربین..کابل',\n",
       " 'تومن',\n",
       " 'شدم',\n",
       " 'مبلغ',\n",
       " '460',\n",
       " '583',\n",
       " 'نوشتم',\n",
       " '633',\n",
       " 'شغل',\n",
       " 'داده\\u200cکاوان',\n",
       " 'و',\n",
       " 'شبکه',\n",
       " 'گشاده',\n",
       " 'حرف',\n",
       " 'فک',\n",
       " 'روز،',\n",
       " 'نکردم',\n",
       " 'شاهد',\n",
       " ':\\u200c',\n",
       " 'ساختم...',\n",
       " 'مشکل',\n",
       " 'خانه',\n",
       " 'خ...',\n",
       " '247',\n",
       " 'گرفتن،...',\n",
       " 'اتوبوسی،محل',\n",
       " 'شركت',\n",
       " 'طراح...',\n",
       " 'نو',\n",
       " 'گفتن',\n",
       " 'متوسطی',\n",
       " 'داشتنی',\n",
       " '490',\n",
       " '78',\n",
       " 'صمیمی\\\\n',\n",
       " '271',\n",
       " 'ماهیت',\n",
       " 'چیز...',\n",
       " 'آن',\n",
       " 'وبسایت',\n",
       " 'تستی',\n",
       " 'بیشتر',\n",
       " 'نخواهید',\n",
       " '557',\n",
       " 'توضی...',\n",
       " '572',\n",
       " 'چشم',\n",
       " '139',\n",
       " 'می',\n",
       " 'ورود',\n",
       " '۷۰',\n",
       " ...]"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "token_text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 63,
   "metadata": {},
   "outputs": [],
   "source": [
    "token_no_dot = list(map(lambda x: x.replace('.',' '), token_text))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 64,
   "metadata": {},
   "outputs": [],
   "source": [
    "token_no_dot = list(map(lambda x: x.replace(',',' '), token_no_dot))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [],
   "source": [
    "token_no_dot = list(map(lambda x: x.replace('\\\\',' '), token_no_dot))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 66,
   "metadata": {},
   "outputs": [],
   "source": [
    "token_no_dot = list(map(lambda x: x.replace('/',' '), token_no_dot))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 67,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " 'مهسان',\n",
       " '627',\n",
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       " 'اطلاعات',\n",
       " '608',\n",
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       " 'غیر',\n",
       " 'عملی',\n",
       " 'پنج',\n",
       " 'طراح',\n",
       " '647',\n",
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       " 'دریافت',\n",
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       " 'یارا',\n",
       " 'مشغولم',\n",
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       " 'بود ',\n",
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       " '32',\n",
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       " '563',\n",
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       " 'کشید!',\n",
       " 'جلو',\n",
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       " 'آنچنانی',\n",
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       " 'بدو',\n",
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       " '553',\n",
       " 'بود،',\n",
       " '535',\n",
       " 'قوانین',\n",
       " 'گول',\n",
       " 'ولی',\n",
       " ' nمحیط',\n",
       " 'آژانس',\n",
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       " 'كلا',\n",
       " 'چهار ',\n",
       " 'خوایید',\n",
       " '252',\n",
       " 'پ   ',\n",
       " 'ناکارآمد n n',\n",
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       " 'ناهماهنگی',\n",
       " '(حداکثر',\n",
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       " '۲۵۰',\n",
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       " 'خو   ',\n",
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       " 'بهم',\n",
       " '352',\n",
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       " 'شروع',\n",
       " 'ط   ',\n",
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       " 'ای2-',\n",
       " '70',\n",
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       " 'فراشبکه',\n",
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       " 'نمیدهند',\n",
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       " 'نهایت',\n",
       " 'تجربیات',\n",
       " 'اشتباه',\n",
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       " 'که   ',\n",
       " 'بصو   ',\n",
       " 'ان   ',\n",
       " 'ایجاد',\n",
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       " 'داشتمرحله',\n",
       " 'کد   ',\n",
       " '616',\n",
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       " 'ناهید',\n",
       " 'نیس',\n",
       " '487',\n",
       " 'گفت ',\n",
       " 'همراه',\n",
       " 'خواستن',\n",
       " 'کمغالبا',\n",
       " 'نسبتا',\n",
       " 'پلاس',\n",
       " 'تهرا   ',\n",
       " '34',\n",
       " '53',\n",
       " '67',\n",
       " 'حداکثر   ',\n",
       " 'تبریک',\n",
       " 'میتونید',\n",
       " '592',\n",
       " 'خواین',\n",
       " 'بهتر',\n",
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       " '333',\n",
       " 'تاخیر',\n",
       " 'دل',\n",
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       " 'مناسب',\n",
       " 'اواسط',\n",
       " 'دارت',\n",
       " 'همین',\n",
       " 'منتظر',\n",
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       " 'علت',\n",
       " '278',\n",
       " 'عجیب',\n",
       " 'حد',\n",
       " '396',\n",
       " 'زیبا',\n",
       " 'زیادی',\n",
       " 'عمل   ',\n",
       " 'حوز   ',\n",
       " '103',\n",
       " 'طبق',\n",
       " 'تجربه   ',\n",
       " '142',\n",
       " 'رشته\\u200cهای   ',\n",
       " 'داره ',\n",
       " '9ماه',\n",
       " 'زمینه',\n",
       " 'مدیریت',\n",
       " 'یزد',\n",
       " 'به   ',\n",
       " 'لینکینگ',\n",
       " 'محصول',\n",
       " 'قراردادن',\n",
       " 'دید',\n",
       " 'محسوب',\n",
       " 'فرداد',\n",
       " 'بیگاری',\n",
       " '105',\n",
       " 'دقیقا،',\n",
       " 'هدف',\n",
       " '57',\n",
       " '   برخ   ',\n",
       " 'است',\n",
       " '674',\n",
       " 'همشون',\n",
       " '697',\n",
       " 'واردات',\n",
       " 'شلو   ',\n",
       " 'سوهان',\n",
       " 'شد   ',\n",
       " 'افراد',\n",
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       " 'تارگت',\n",
       " 'جور',\n",
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       " 'خانم',\n",
       " 'البته',\n",
       " '374',\n",
       " 'دیر',\n",
       " '472',\n",
       " '  n',\n",
       " 'داشتم الب   ',\n",
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       " 'صبح',\n",
       " 'ویژ   ',\n",
       " 'طراحی',\n",
       " '336',\n",
       " 'باید',\n",
       " 'سخت',\n",
       " 'پیشرفته',\n",
       " 'کاری،',\n",
       " 'فرانت-اند',\n",
       " 'زنکی',\n",
       " 'زد   ',\n",
       " '204',\n",
       " '76',\n",
       " 'مشغولم ',\n",
       " '50',\n",
       " 'سرد',\n",
       " 'موج',\n",
       " '368',\n",
       " 'تیمی',\n",
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       " 'علاقمند',\n",
       " '251',\n",
       " 'فرمودند',\n",
       " '480',\n",
       " 'نکاتی',\n",
       " 'پردا   ',\n",
       " 'عشق',\n",
       " 'نرم',\n",
       " '129',\n",
       " 'قدیمیه',\n",
       " '۱۳۹۸',\n",
       " 'شناخته',\n",
       " 'برخوردی',\n",
       " '83',\n",
       " 'عامل',\n",
       " '566',\n",
       " 'احساسی',\n",
       " 'یه   ',\n",
       " '۱۳۹۳',\n",
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       " '658',\n",
       " 'رد',\n",
       " 'يكي',\n",
       " 'اسنپ',\n",
       " 'DCA',\n",
       " '122',\n",
       " 'تشکل',\n",
       " 'مارکتینگسوشال',\n",
       " 'حوزه',\n",
       " 'رشته',\n",
       " '464',\n",
       " 'رزومه',\n",
       " '120',\n",
       " '466',\n",
       " 'پذیر n',\n",
       " '540',\n",
       " 'آم   ',\n",
       " 'کامپی   ',\n",
       " '545',\n",
       " '596',\n",
       " 'مدیرا   ',\n",
       " 'داشت',\n",
       " '372',\n",
       " 'منو',\n",
       " 'واحدی',\n",
       " 'نالایقی',\n",
       " '\"بدون',\n",
       " '133',\n",
       " 'کنید ',\n",
       " 'بنده',\n",
       " 'راحتی',\n",
       " 'د   ',\n",
       " '159',\n",
       " 'اش',\n",
       " 'ارتب   ',\n",
       " 'شود',\n",
       " '439',\n",
       " 'استرس',\n",
       " 'پرداختش',\n",
       " 'خونه',\n",
       " 'نشون',\n",
       " '637',\n",
       " 'سوال   ',\n",
       " '313',\n",
       " 'مزخرف',\n",
       " 'اولش',\n",
       " 'پرسنل',\n",
       " 'همکاری',\n",
       " 'هایی   ',\n",
       " 'استارت\\u200cآپی',\n",
       " 'خسته',\n",
       " '646',\n",
       " 'پویایی',\n",
       " '224',\n",
       " 'خوبی',\n",
       " '629',\n",
       " 'جالب   ',\n",
       " '652',\n",
       " 'مواقع',\n",
       " 'Travel',\n",
       " 'کردیم',\n",
       " 'ادم',\n",
       " 'اینتن',\n",
       " 'تدبیر',\n",
       " 'روز',\n",
       " 'متو   ',\n",
       " '551',\n",
       " '201',\n",
       " '؟ n',\n",
       " 'قدر',\n",
       " 'میکن   ',\n",
       " 'خوببیشترین',\n",
       " 'ادعای',\n",
       " '345',\n",
       " 'نداره ',\n",
       " '49',\n",
       " 'من   ',\n",
       " 'آشنایی',\n",
       " 'گرفتم',\n",
       " ' ',\n",
       " '212',\n",
       " 'اونها',\n",
       " '92',\n",
       " '615',\n",
       " '626',\n",
       " '573',\n",
       " 'اما',\n",
       " '163',\n",
       " 'ادب',\n",
       " '295',\n",
       " '445',\n",
       " 'داخل',\n",
       " '508',\n",
       " 'دوربین  کابل',\n",
       " 'تومن',\n",
       " 'شدم',\n",
       " 'مبلغ',\n",
       " '460',\n",
       " '583',\n",
       " 'نوشتم',\n",
       " '633',\n",
       " 'شغل',\n",
       " 'داده\\u200cکاوان',\n",
       " 'و',\n",
       " 'شبکه',\n",
       " 'گشاده',\n",
       " 'حرف',\n",
       " 'فک',\n",
       " 'روز،',\n",
       " 'نکردم',\n",
       " 'شاهد',\n",
       " ':\\u200c',\n",
       " 'ساختم   ',\n",
       " 'مشکل',\n",
       " 'خانه',\n",
       " 'خ   ',\n",
       " '247',\n",
       " 'گرفتن،   ',\n",
       " 'اتوبوسی،محل',\n",
       " 'شركت',\n",
       " 'طراح   ',\n",
       " 'نو',\n",
       " 'گفتن',\n",
       " 'متوسطی',\n",
       " 'داشتنی',\n",
       " '490',\n",
       " '78',\n",
       " 'صمیمی n',\n",
       " '271',\n",
       " 'ماهیت',\n",
       " 'چیز   ',\n",
       " 'آن',\n",
       " 'وبسایت',\n",
       " 'تستی',\n",
       " 'بیشتر',\n",
       " 'نخواهید',\n",
       " '557',\n",
       " 'توضی   ',\n",
       " '572',\n",
       " 'چشم',\n",
       " '139',\n",
       " 'می',\n",
       " 'ورود',\n",
       " '۷۰',\n",
       " ...]"
      ]
     },
     "execution_count": 67,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "token_no_dot"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [],
   "source": [
    "temp_text = ' '.join(token_no_dot)\n",
    "pure_token = temp_text.split()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 69,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['115',\n",
       " '64',\n",
       " '650',\n",
       " 'ببینید',\n",
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       " 'داشتم',\n",
       " 'الب',\n",
       " 'کارشناس',\n",
       " 'بوده',\n",
       " 'صبح',\n",
       " 'ویژ',\n",
       " 'طراحی',\n",
       " '336',\n",
       " 'باید',\n",
       " 'سخت',\n",
       " 'پیشرفته',\n",
       " 'کاری،',\n",
       " 'فرانت-اند',\n",
       " 'زنکی',\n",
       " 'زد',\n",
       " '204',\n",
       " '76',\n",
       " 'مشغولم',\n",
       " '50',\n",
       " 'سرد',\n",
       " 'موج',\n",
       " '368',\n",
       " 'تیمی',\n",
       " '249',\n",
       " 'علاقمند',\n",
       " '251',\n",
       " 'فرمودند',\n",
       " '480',\n",
       " 'نکاتی',\n",
       " 'پردا',\n",
       " 'عشق',\n",
       " 'نرم',\n",
       " '129',\n",
       " 'قدیمیه',\n",
       " '۱۳۹۸',\n",
       " 'شناخته',\n",
       " 'برخوردی',\n",
       " '83',\n",
       " 'عامل',\n",
       " '566',\n",
       " 'احساسی',\n",
       " 'یه',\n",
       " '۱۳۹۳',\n",
       " '355',\n",
       " '658',\n",
       " 'رد',\n",
       " 'يكي',\n",
       " 'اسنپ',\n",
       " 'DCA',\n",
       " '122',\n",
       " 'تشکل',\n",
       " 'مارکتینگسوشال',\n",
       " 'حوزه',\n",
       " 'رشته',\n",
       " '464',\n",
       " 'رزومه',\n",
       " '120',\n",
       " '466',\n",
       " 'پذیر',\n",
       " 'n',\n",
       " '540',\n",
       " 'آم',\n",
       " 'کامپی',\n",
       " '545',\n",
       " '596',\n",
       " 'مدیرا',\n",
       " 'داشت',\n",
       " '372',\n",
       " 'منو',\n",
       " 'واحدی',\n",
       " 'نالایقی',\n",
       " '\"بدون',\n",
       " '133',\n",
       " 'کنید',\n",
       " 'بنده',\n",
       " 'راحتی',\n",
       " 'د',\n",
       " '159',\n",
       " 'اش',\n",
       " 'ارتب',\n",
       " 'شود',\n",
       " '439',\n",
       " 'استرس',\n",
       " 'پرداختش',\n",
       " 'خونه',\n",
       " 'نشون',\n",
       " '637',\n",
       " 'سوال',\n",
       " '313',\n",
       " 'مزخرف',\n",
       " 'اولش',\n",
       " 'پرسنل',\n",
       " 'همکاری',\n",
       " 'هایی',\n",
       " 'استارت\\u200cآپی',\n",
       " 'خسته',\n",
       " '646',\n",
       " 'پویایی',\n",
       " '224',\n",
       " 'خوبی',\n",
       " '629',\n",
       " 'جالب',\n",
       " '652',\n",
       " 'مواقع',\n",
       " 'Travel',\n",
       " 'کردیم',\n",
       " 'ادم',\n",
       " 'اینتن',\n",
       " 'تدبیر',\n",
       " 'روز',\n",
       " 'متو',\n",
       " '551',\n",
       " '201',\n",
       " '؟',\n",
       " 'n',\n",
       " 'قدر',\n",
       " 'میکن',\n",
       " 'خوببیشترین',\n",
       " 'ادعای',\n",
       " '345',\n",
       " 'نداره',\n",
       " '49',\n",
       " 'من',\n",
       " 'آشنایی',\n",
       " 'گرفتم',\n",
       " '212',\n",
       " 'اونها',\n",
       " '92',\n",
       " '615',\n",
       " '626',\n",
       " '573',\n",
       " 'اما',\n",
       " '163',\n",
       " 'ادب',\n",
       " '295',\n",
       " '445',\n",
       " 'داخل',\n",
       " '508',\n",
       " 'دوربین',\n",
       " 'کابل',\n",
       " 'تومن',\n",
       " 'شدم',\n",
       " 'مبلغ',\n",
       " '460',\n",
       " '583',\n",
       " 'نوشتم',\n",
       " '633',\n",
       " 'شغل',\n",
       " 'داده\\u200cکاوان',\n",
       " 'و',\n",
       " 'شبکه',\n",
       " 'گشاده',\n",
       " 'حرف',\n",
       " 'فک',\n",
       " 'روز،',\n",
       " 'نکردم',\n",
       " 'شاهد',\n",
       " ':\\u200c',\n",
       " 'ساختم',\n",
       " 'مشکل',\n",
       " 'خانه',\n",
       " 'خ',\n",
       " '247',\n",
       " 'گرفتن،',\n",
       " ...]"
      ]
     },
     "execution_count": 69,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pure_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "persian_stop_words = pd.read_csv('persian_stop_words.txt', header=None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 71,
   "metadata": {},
   "outputs": [],
   "source": [
    "persian_stop_words=persian_stop_words.values.reshape([-1])"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 72,
   "metadata": {},
   "outputs": [],
   "source": [
    "persian_stop_words= list(persian_stop_words)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 73,
   "metadata": {},
   "outputs": [],
   "source": [
    "extra_stop_words = ['من','که','با','شرکت','در', 'این', 'برای', 'بودم', 'داره','توی', 'مرحله', 'بسیار','شرکت','ها' , 'های','علت']"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "persian_stop_words = persian_stop_words+extra_stop_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['موضوع تحقیق',\n",
       " 'ارایه گردد',\n",
       " 'نحوه نمایش',\n",
       " 'دوباره\\u200cای',\n",
       " 'خواهیمكرد',\n",
       " 'می توانند',\n",
       " 'می\\u200cتوانند',\n",
       " 'می فرماید',\n",
       " 'می\\u200cفرماید',\n",
       " 'وجود دارد',\n",
       " 'هدف باشیم',\n",
       " 'بنابراین',\n",
       " 'برخوردار',\n",
       " 'نمیمونید',\n",
       " 'ساخته\\u200cام',\n",
       " 'میخواستن',\n",
       " 'نمیگیرند',\n",
       " 'همچنانكه',\n",
       " 'نمیمونید',\n",
       " 'میخواهند',\n",
       " 'می تواند',\n",
       " 'می باشند',\n",
       " 'می\\u200cتواند',\n",
       " 'می\\u200cباشند',\n",
       " 'استفاده',\n",
       " 'میلیارد',\n",
       " 'جلوگیری',\n",
       " 'نمیكنند',\n",
       " 'رابسیار',\n",
       " 'مینوشند',\n",
       " 'نمیاورم',\n",
       " 'رفته\\u200cام',\n",
       " 'اینطوری',\n",
       " 'شده\\u200cاند',\n",
       " 'می شوند',\n",
       " 'می کنند',\n",
       " 'می توان',\n",
       " 'می باشد',\n",
       " 'می\\u200cشوند',\n",
       " 'می\\u200cکنند',\n",
       " 'می\\u200cتوان',\n",
       " 'می\\u200cباشد',\n",
       " 'کمک کند',\n",
       " 'هدف کلی',\n",
       " 'همچنین',\n",
       " 'میلیون',\n",
       " 'درباره',\n",
       " 'بسیاری',\n",
       " 'براساس',\n",
       " 'خواهند',\n",
       " 'توانند',\n",
       " 'نخستین',\n",
       " 'تاكنون',\n",
       " 'برداری',\n",
       " 'بهترین',\n",
       " 'بیشتری',\n",
       " 'داشتند',\n",
       " 'نخواهد',\n",
       " 'دیگران',\n",
       " 'همچنان',\n",
       " 'ندارند',\n",
       " 'روزهای',\n",
       " 'یكدیگر',\n",
       " 'همواره',\n",
       " 'گذاشته',\n",
       " 'نداشته',\n",
       " 'خواهیم',\n",
       " 'بیرونِ',\n",
       " 'پاعینِ',\n",
       " 'نزدیكِ',\n",
       " 'دنبالِ',\n",
       " 'برابرِ',\n",
       " 'مانندِ',\n",
       " 'هنگامِ',\n",
       " 'عنوانِ',\n",
       " 'البتّه',\n",
       " 'وقتیكه',\n",
       " 'هنگامی',\n",
       " 'میكنند',\n",
       " 'همانند',\n",
       " 'پیششون',\n",
       " 'میباشد',\n",
       " 'میگردد',\n",
       " 'درباره',\n",
       " 'میدهیم',\n",
       " 'بینمان',\n",
       " 'مهمتره',\n",
       " 'بیاریم',\n",
       " 'نمیبرد',\n",
       " 'نمیروم',\n",
       " 'شناسید',\n",
       " 'بریزید',\n",
       " 'میكنیم',\n",
       " 'علارغم',\n",
       " 'نمیكنن',\n",
       " 'اینجور',\n",
       " 'میگیره',\n",
       " 'میكنند',\n",
       " 'میشوند',\n",
       " 'می شود',\n",
       " 'می کند',\n",
       " 'می\\u200cشود',\n",
       " 'می\\u200cکند',\n",
       " 'می آید',\n",
       " 'می\\u200cآید',\n",
       " 'این ها',\n",
       " 'این جا',\n",
       " 'این\\u200cها',\n",
       " 'خواهد',\n",
       " 'هستند',\n",
       " 'داشته',\n",
       " 'كردند',\n",
       " 'دارند',\n",
       " 'بیشتر',\n",
       " 'بسیار',\n",
       " 'گرفته',\n",
       " 'تواند',\n",
       " 'اینكه',\n",
       " 'دیروز',\n",
       " 'مختلف',\n",
       " 'گذاری',\n",
       " 'بودند',\n",
       " 'امروز',\n",
       " 'باشند',\n",
       " 'ندارد',\n",
       " 'دیگری',\n",
       " 'اكنون',\n",
       " 'البته',\n",
       " 'مقابل',\n",
       " 'خدمات',\n",
       " 'امسال',\n",
       " 'مانند',\n",
       " 'جریان',\n",
       " 'ساخته',\n",
       " 'نزدیك',\n",
       " 'دانست',\n",
       " 'تمامی',\n",
       " 'ایشان',\n",
       " 'دادند',\n",
       " 'هنگام',\n",
       " 'نباید',\n",
       " 'داریم',\n",
       " 'چگونه',\n",
       " 'خواست',\n",
       " 'هستیم',\n",
       " 'سراسر',\n",
       " 'گروهی',\n",
       " 'آورده',\n",
       " 'نماید',\n",
       " 'باشیم',\n",
       " 'گویند',\n",
       " 'شناسی',\n",
       " 'داشتن',\n",
       " 'همچون',\n",
       " 'نكرده',\n",
       " 'دانند',\n",
       " 'بالای',\n",
       " 'خارجِ',\n",
       " 'كنارِ',\n",
       " 'حدودِ',\n",
       " 'علّتِ',\n",
       " 'كجاست',\n",
       " 'چندین',\n",
       " 'لطفاً',\n",
       " 'مدّتی',\n",
       " 'هممون',\n",
       " 'میكنن',\n",
       " 'هممون',\n",
       " 'نزدیم',\n",
       " 'دارای',\n",
       " 'بشوند',\n",
       " 'یگردی',\n",
       " 'عمدتا',\n",
       " 'آورده',\n",
       " 'وبرای',\n",
       " 'بتوان',\n",
       " 'ندیدی',\n",
       " 'بخوبی',\n",
       " 'بدهید',\n",
       " 'نكنند',\n",
       " 'بوجود',\n",
       " 'میكنم',\n",
       " 'میكند',\n",
       " 'میكنه',\n",
       " 'دونید',\n",
       " 'بگیرم',\n",
       " 'بزنید',\n",
       " 'تونست',\n",
       " 'نداره',\n",
       " 'كردید',\n",
       " 'بودید',\n",
       " 'واقعا',\n",
       " 'هستید',\n",
       " 'اینجا',\n",
       " 'بهشون',\n",
       " 'میكنن',\n",
       " 'میروم',\n",
       " 'اونجا',\n",
       " 'میدهم',\n",
       " 'میداد',\n",
       " 'میدهد',\n",
       " 'كردیم',\n",
       " 'می شد',\n",
       " 'می\\u200cشد',\n",
       " 'آن ها',\n",
       " 'آن جا',\n",
       " 'آن\\u200cها',\n",
       " nan,\n",
       " 'برای',\n",
       " 'كنند',\n",
       " 'دارد',\n",
       " 'كرده',\n",
       " 'باید',\n",
       " 'مورد',\n",
       " 'آنها',\n",
       " 'باشد',\n",
       " 'دیگر',\n",
       " 'مردم',\n",
       " 'صورت',\n",
       " 'هزار',\n",
       " 'نیست',\n",
       " 'داشت',\n",
       " 'داده',\n",
       " 'بوده',\n",
       " 'همین',\n",
       " 'شوند',\n",
       " 'هایی',\n",
       " 'جدید',\n",
       " 'كردن',\n",
       " 'كنیم',\n",
       " 'نشان',\n",
       " 'توسط',\n",
       " 'چنین',\n",
       " 'برخی',\n",
       " 'گیرد',\n",
       " 'گفته',\n",
       " 'آنان',\n",
       " 'گرفت',\n",
       " 'دهند',\n",
       " 'بدون',\n",
       " 'تمام',\n",
       " 'شدند',\n",
       " 'ترین',\n",
       " 'قابل',\n",
       " 'گوید',\n",
       " 'همان',\n",
       " 'آمده',\n",
       " 'طریق',\n",
       " 'گیری',\n",
       " 'هنوز',\n",
       " 'كنید',\n",
       " 'سازی',\n",
       " 'بلكه',\n",
       " 'بودن',\n",
       " 'وقتی',\n",
       " 'یابد',\n",
       " 'تازه',\n",
       " 'آورد',\n",
       " 'آنچه',\n",
       " 'نخست',\n",
       " 'نشده',\n",
       " 'شاید',\n",
       " 'چهار',\n",
       " 'زیرا',\n",
       " 'ریزی',\n",
       " 'گردد',\n",
       " 'كمتر',\n",
       " 'دادن',\n",
       " 'ناشی',\n",
       " 'چیزی',\n",
       " 'آنكه',\n",
       " 'بالا',\n",
       " 'بعضی',\n",
       " 'نبود',\n",
       " 'دیده',\n",
       " 'بندی',\n",
       " 'نوعی',\n",
       " 'آنجا',\n",
       " 'كردم',\n",
       " 'بیست',\n",
       " 'بروز',\n",
       " 'رفته',\n",
       " 'زیاد',\n",
       " 'خویش',\n",
       " 'آباد',\n",
       " 'نظیر',\n",
       " 'باره',\n",
       " 'سابق',\n",
       " 'جایی',\n",
       " 'زیرِ',\n",
       " 'جلوی',\n",
       " 'پیشِ',\n",
       " 'عقبِ',\n",
       " 'وسطِ',\n",
       " 'نزدِ',\n",
       " 'طبقِ',\n",
       " 'ضدِّ',\n",
       " 'مثلِ',\n",
       " 'بارة',\n",
       " 'اثرِ',\n",
       " 'تولِ',\n",
       " 'سمتِ',\n",
       " 'قصدِ',\n",
       " 'چیست',\n",
       " 'چطور',\n",
       " 'كدام',\n",
       " 'بعری',\n",
       " 'هرگز',\n",
       " 'تنها',\n",
       " 'خیاه',\n",
       " 'مرسی',\n",
       " 'كنند',\n",
       " 'خودی',\n",
       " 'وگرد',\n",
       " 'بازم',\n",
       " 'رویم',\n",
       " 'ابدا',\n",
       " 'میگن',\n",
       " 'پراز',\n",
       " 'هشان',\n",
       " 'نریم',\n",
       " 'واسش',\n",
       " 'خاست',\n",
       " 'هایت',\n",
       " 'بشید',\n",
       " 'دچار',\n",
       " 'داره',\n",
       " 'بعدا',\n",
       " 'گرچه',\n",
       " 'میرم',\n",
       " 'باشه',\n",
       " 'شدید',\n",
       " 'نشون',\n",
       " 'رسید',\n",
       " 'دارم',\n",
       " 'بیاد',\n",
       " 'بودم',\n",
       " 'هستن',\n",
       " 'میشه',\n",
       " 'برید',\n",
       " 'بریم',\n",
       " 'وارد',\n",
       " 'یعنی',\n",
       " 'اینا',\n",
       " 'بدان',\n",
       " 'نباش',\n",
       " 'نداد',\n",
       " 'میرن',\n",
       " 'شدیم',\n",
       " 'خودم',\n",
       " 'اونا',\n",
       " 'خیلی',\n",
       " 'نكنه',\n",
       " 'باشم',\n",
       " 'کردن',\n",
       " '0000',\n",
       " 'این',\n",
       " 'است',\n",
       " 'های',\n",
       " 'شود',\n",
       " 'شده',\n",
       " 'خود',\n",
       " 'كرد',\n",
       " 'كند',\n",
       " 'بود',\n",
       " 'گفت',\n",
       " 'نیز',\n",
       " 'اما',\n",
       " 'اند',\n",
       " 'نمی',\n",
       " 'بین',\n",
       " 'پیش',\n",
       " 'اگر',\n",
       " 'همه',\n",
       " 'یکی',\n",
       " 'دهد',\n",
       " 'داد',\n",
       " 'راه',\n",
       " 'سوی',\n",
       " 'روی',\n",
       " 'اول',\n",
       " 'نام',\n",
       " 'هیچ',\n",
       " 'چند',\n",
       " 'بیش',\n",
       " 'شدن',\n",
       " 'حتی',\n",
       " 'ولی',\n",
       " 'دوم',\n",
       " 'بعد',\n",
       " 'شما',\n",
       " 'بار',\n",
       " 'طور',\n",
       " 'چون',\n",
       " 'قبل',\n",
       " 'تحت',\n",
       " 'جای',\n",
       " 'چرا',\n",
       " 'سوم',\n",
       " 'كنم',\n",
       " 'زیر',\n",
       " 'ضمن',\n",
       " 'فقط',\n",
       " 'آید',\n",
       " 'فكر',\n",
       " 'پنج',\n",
       " 'كسی',\n",
       " 'رفت',\n",
       " 'مثل',\n",
       " 'آمد',\n",
       " 'ایم',\n",
       " 'غیر',\n",
       " 'وگو',\n",
       " 'فوق',\n",
       " 'سعی',\n",
       " 'سپس',\n",
       " 'شان',\n",
       " 'هفت',\n",
       " 'سری',\n",
       " 'توی',\n",
       " 'روب',\n",
       " 'جدا',\n",
       " 'هست',\n",
       " 'كجا',\n",
       " 'كَی',\n",
       " 'آیا',\n",
       " 'مگر',\n",
       " 'چیز',\n",
       " 'بله',\n",
       " 'بلی',\n",
       " 'آره',\n",
       " 'آری',\n",
       " 'مان',\n",
       " 'تان',\n",
       " 'كنن',\n",
       " 'ونن',\n",
       " 'مند',\n",
       " 'آخه',\n",
       " 'ماا',\n",
       " 'بشم',\n",
       " 'كنه',\n",
       " 'كنی',\n",
       " 'تون',\n",
       " 'بهم',\n",
       " 'هاش',\n",
       " 'بشی',\n",
       " 'ازش',\n",
       " 'روى',\n",
       " 'بشن',\n",
       " 'بری',\n",
       " 'الی',\n",
       " 'كلی',\n",
       " 'جور',\n",
       " 'اون',\n",
       " 'چیه',\n",
       " 'توش',\n",
       " 'بدم',\n",
       " 'مون',\n",
       " 'شرط',\n",
       " 'كنن',\n",
       " '000',\n",
       " 'های',\n",
       " 'در',\n",
       " 'به',\n",
       " 'از',\n",
       " 'که',\n",
       " 'کن',\n",
       " 'می',\n",
       " 'را',\n",
       " 'با',\n",
       " 'آن',\n",
       " 'یک',\n",
       " 'ها',\n",
       " 'شد',\n",
       " 'ای',\n",
       " 'تا',\n",
       " 'بر',\n",
       " 'وی',\n",
       " 'هم',\n",
       " 'ما',\n",
       " 'یا',\n",
       " 'دو',\n",
       " 'هر',\n",
       " 'او',\n",
       " 'پس',\n",
       " 'بی',\n",
       " 'من',\n",
       " 'چه',\n",
       " 'نه',\n",
       " 'طی',\n",
       " 'كل',\n",
       " 'تر',\n",
       " 'حق',\n",
       " 'اش',\n",
       " 'ام',\n",
       " 'ده',\n",
       " 'شش',\n",
       " 'جز',\n",
       " 'كی',\n",
       " 'یك',\n",
       " 'یک',\n",
       " 'جا',\n",
       " 'كس',\n",
       " 'ور',\n",
       " 'تو',\n",
       " 'را',\n",
       " 'چی',\n",
       " 'گه',\n",
       " 'یه',\n",
       " 'شو',\n",
       " 'رو',\n",
       " 'اه',\n",
       " 'ات',\n",
       " 'نا',\n",
       " '00',\n",
       " 'ره',\n",
       " 'عج',\n",
       " 'ی',\n",
       " 'و',\n",
       " 'ع',\n",
       " 'ص',\n",
       " '۱',\n",
       " '۲',\n",
       " '۳',\n",
       " '۴',\n",
       " '۵',\n",
       " '۶',\n",
       " '۷',\n",
       " '۸',\n",
       " '۹',\n",
       " '۰',\n",
       " 'a',\n",
       " 'b',\n",
       " 'c',\n",
       " 'd',\n",
       " 'e',\n",
       " 't',\n",
       " 'o',\n",
       " 'p',\n",
       " 'x',\n",
       " 'y',\n",
       " 'z',\n",
       " 'من',\n",
       " 'که',\n",
       " 'با',\n",
       " 'شرکت',\n",
       " 'در',\n",
       " 'این',\n",
       " 'برای',\n",
       " 'بودم',\n",
       " 'داره',\n",
       " 'توی',\n",
       " 'مرحله',\n",
       " 'بسیار',\n",
       " 'شرکت',\n",
       " 'ها',\n",
       " 'های',\n",
       " 'علت']"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "persian_stop_words"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 76,
   "metadata": {},
   "outputs": [],
   "source": [
    "pure_token = [token for token in pure_token if token not in persian_stop_words]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 77,
   "metadata": {},
   "outputs": [
    {
     "data": {
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       " 'اغراق',\n",
       " 'کردم،',\n",
       " 'کسیکه',\n",
       " 'سفید',\n",
       " '430',\n",
       " '327',\n",
       " 'تقریبا',\n",
       " 'میشید',\n",
       " '536',\n",
       " 'ایرانی',\n",
       " 'بی\\u200cسروت',\n",
       " 'آپی',\n",
       " 'نمیدونم',\n",
       " 'افتضاحمن',\n",
       " '130',\n",
       " 'سفته\\u200cی',\n",
       " '307',\n",
       " '205',\n",
       " 'عن',\n",
       " 'Time',\n",
       " 'تپسل',\n",
       " '33',\n",
       " 'کل',\n",
       " 'تیم\\u200cهای',\n",
       " '350',\n",
       " 'میاد',\n",
       " 'مهم',\n",
       " 'n',\n",
       " 'n',\n",
       " 'بودحدود',\n",
       " 'همکاری',\n",
       " 'ایرانمهر',\n",
       " '154',\n",
       " 'خوب',\n",
       " 'خودتو',\n",
       " 'بیاین',\n",
       " 'گروه',\n",
       " 'نمیدهند',\n",
       " 'محیطی',\n",
       " '497',\n",
       " 'شدمسئول',\n",
       " 'بو',\n",
       " 'اجرا',\n",
       " 'گیت\\u200c',\n",
       " 'واحد',\n",
       " 'م',\n",
       " 'لازم',\n",
       " 'تماس،',\n",
       " 'نهایت',\n",
       " 'تجربیات',\n",
       " 'اشتباه',\n",
       " 'زيرمجموعه',\n",
       " 'بصو',\n",
       " 'ان',\n",
       " 'ایجاد',\n",
       " 'اض',\n",
       " 'داشتمرحله',\n",
       " 'کد',\n",
       " '616',\n",
       " 'محیط\\u200cهای',\n",
       " 'افتضاحی',\n",
       " 'ناهید',\n",
       " 'نیس',\n",
       " '487',\n",
       " 'همراه',\n",
       " 'خواستن',\n",
       " 'کمغالبا',\n",
       " 'نسبتا',\n",
       " 'پلاس',\n",
       " 'تهرا',\n",
       " '34',\n",
       " '53',\n",
       " '67',\n",
       " 'حداکثر',\n",
       " 'تبریک',\n",
       " 'میتونید',\n",
       " '592',\n",
       " 'خواین',\n",
       " 'بهتر',\n",
       " '306',\n",
       " '333',\n",
       " 'تاخیر',\n",
       " 'دل',\n",
       " 'مناسب',\n",
       " 'اواسط',\n",
       " 'دارت',\n",
       " 'منتظر',\n",
       " '568',\n",
       " 'محترمانه',\n",
       " '441',\n",
       " '278',\n",
       " 'عجیب',\n",
       " 'حد',\n",
       " '396',\n",
       " 'زیبا',\n",
       " 'زیادی',\n",
       " 'عمل',\n",
       " 'حوز',\n",
       " '103',\n",
       " 'طبق',\n",
       " 'تجربه',\n",
       " '142',\n",
       " 'رشته\\u200cهای',\n",
       " '9ماه',\n",
       " 'زمینه',\n",
       " 'مدیریت',\n",
       " 'یزد',\n",
       " 'لینکینگ',\n",
       " 'محصول',\n",
       " 'قراردادن',\n",
       " 'دید',\n",
       " 'محسوب',\n",
       " 'فرداد',\n",
       " 'بیگاری',\n",
       " '105',\n",
       " 'دقیقا،',\n",
       " 'هدف',\n",
       " '57',\n",
       " 'برخ',\n",
       " '674',\n",
       " 'همشون',\n",
       " '697',\n",
       " 'واردات',\n",
       " 'شلو',\n",
       " 'سوهان',\n",
       " 'افراد',\n",
       " '556',\n",
       " '262',\n",
       " 'تارگت',\n",
       " '260',\n",
       " 'خانم',\n",
       " '374',\n",
       " 'دیر',\n",
       " '472',\n",
       " 'n',\n",
       " 'داشتم',\n",
       " 'الب',\n",
       " 'کارشناس',\n",
       " 'صبح',\n",
       " 'ویژ',\n",
       " 'طراحی',\n",
       " '336',\n",
       " 'سخت',\n",
       " 'پیشرفته',\n",
       " 'کاری،',\n",
       " 'فرانت-اند',\n",
       " 'زنکی',\n",
       " 'زد',\n",
       " '204',\n",
       " '76',\n",
       " 'مشغولم',\n",
       " '50',\n",
       " 'سرد',\n",
       " 'موج',\n",
       " '368',\n",
       " 'تیمی',\n",
       " '249',\n",
       " 'علاقمند',\n",
       " '251',\n",
       " 'فرمودند',\n",
       " '480',\n",
       " 'نکاتی',\n",
       " 'پردا',\n",
       " 'عشق',\n",
       " 'نرم',\n",
       " '129',\n",
       " 'قدیمیه',\n",
       " '۱۳۹۸',\n",
       " 'شناخته',\n",
       " 'برخوردی',\n",
       " '83',\n",
       " 'عامل',\n",
       " '566',\n",
       " 'احساسی',\n",
       " '۱۳۹۳',\n",
       " '355',\n",
       " '658',\n",
       " 'رد',\n",
       " 'يكي',\n",
       " 'اسنپ',\n",
       " 'DCA',\n",
       " '122',\n",
       " 'تشکل',\n",
       " 'مارکتینگسوشال',\n",
       " 'حوزه',\n",
       " 'رشته',\n",
       " '464',\n",
       " 'رزومه',\n",
       " '120',\n",
       " '466',\n",
       " 'پذیر',\n",
       " 'n',\n",
       " '540',\n",
       " 'آم',\n",
       " 'کامپی',\n",
       " '545',\n",
       " '596',\n",
       " 'مدیرا',\n",
       " '372',\n",
       " 'منو',\n",
       " 'واحدی',\n",
       " 'نالایقی',\n",
       " '\"بدون',\n",
       " '133',\n",
       " 'کنید',\n",
       " 'بنده',\n",
       " 'راحتی',\n",
       " 'د',\n",
       " '159',\n",
       " 'ارتب',\n",
       " '439',\n",
       " 'استرس',\n",
       " 'پرداختش',\n",
       " 'خونه',\n",
       " '637',\n",
       " 'سوال',\n",
       " '313',\n",
       " 'مزخرف',\n",
       " 'اولش',\n",
       " 'پرسنل',\n",
       " 'همکاری',\n",
       " 'استارت\\u200cآپی',\n",
       " 'خسته',\n",
       " '646',\n",
       " 'پویایی',\n",
       " '224',\n",
       " 'خوبی',\n",
       " '629',\n",
       " 'جالب',\n",
       " '652',\n",
       " 'مواقع',\n",
       " 'Travel',\n",
       " 'کردیم',\n",
       " 'ادم',\n",
       " 'اینتن',\n",
       " 'تدبیر',\n",
       " 'روز',\n",
       " 'متو',\n",
       " '551',\n",
       " '201',\n",
       " '؟',\n",
       " 'n',\n",
       " 'قدر',\n",
       " 'میکن',\n",
       " 'خوببیشترین',\n",
       " 'ادعای',\n",
       " '345',\n",
       " '49',\n",
       " 'آشنایی',\n",
       " 'گرفتم',\n",
       " '212',\n",
       " 'اونها',\n",
       " '92',\n",
       " '615',\n",
       " '626',\n",
       " '573',\n",
       " '163',\n",
       " 'ادب',\n",
       " '295',\n",
       " '445',\n",
       " 'داخل',\n",
       " '508',\n",
       " 'دوربین',\n",
       " 'کابل',\n",
       " 'تومن',\n",
       " 'شدم',\n",
       " 'مبلغ',\n",
       " '460',\n",
       " '583',\n",
       " 'نوشتم',\n",
       " '633',\n",
       " 'شغل',\n",
       " 'داده\\u200cکاوان',\n",
       " 'شبکه',\n",
       " 'گشاده',\n",
       " 'حرف',\n",
       " 'فک',\n",
       " 'روز،',\n",
       " 'نکردم',\n",
       " 'شاهد',\n",
       " ':\\u200c',\n",
       " 'ساختم',\n",
       " 'مشکل',\n",
       " 'خانه',\n",
       " 'خ',\n",
       " '247',\n",
       " 'گرفتن،',\n",
       " 'اتوبوسی،محل',\n",
       " 'شركت',\n",
       " 'طراح',\n",
       " 'نو',\n",
       " 'گفتن',\n",
       " 'متوسطی',\n",
       " 'داشتنی',\n",
       " '490',\n",
       " '78',\n",
       " 'صمیمی',\n",
       " 'n',\n",
       " '271',\n",
       " 'ماهیت',\n",
       " 'وبسایت',\n",
       " 'تستی',\n",
       " 'نخواهید',\n",
       " '557',\n",
       " 'توضی',\n",
       " '572',\n",
       " 'چشم',\n",
       " '139',\n",
       " 'ورود',\n",
       " '۷۰',\n",
       " 'نکات',\n",
       " 'میزد',\n",
       " 'ماهه',\n",
       " 'فله',\n",
       " 'برم',\n",
       " 'جوان',\n",
       " 'نوین',\n",
       " 'ز',\n",
       " 'برگه',\n",
       " '207',\n",
       " '422',\n",
       " 'نخورید',\n",
       " 'شخصی',\n",
       " 'افراد',\n",
       " '52',\n",
       " 'روحي',\n",
       " 'جلسات',\n",
       " '151',\n",
       " 'برنامه',\n",
       " 'شرو',\n",
       " 'دوستانرزومه',\n",
       " 'تعجب',\n",
       " 'دل',\n",
       " 'کنی',\n",
       " 'روش',\n",
       " '1',\n",
       " 'متلقب',\n",
       " 'بیرون',\n",
       " 'پویای',\n",
       " '473',\n",
       " 'تجرب',\n",
       " '206',\n",
       " '215',\n",
       " 'چیزا',\n",
       " 'هستم',\n",
       " 'مدیریتی',\n",
       " 'nسازمان',\n",
       " '113',\n",
       " '226',\n",
       " '407',\n",
       " '80',\n",
       " '254',\n",
       " '183',\n",
       " 'سازمان',\n",
       " '277',\n",
       " 'فیلم',\n",
       " '9-10',\n",
       " 'گفتند',\n",
       " 'یکم',\n",
       " 'کارش',\n",
       " '382',\n",
       " 'قبلا',\n",
       " '284',\n",
       " 'واقع',\n",
       " 'وب',\n",
       " 'دلیل',\n",
       " 'مرحل',\n",
       " 'کارکنان',\n",
       " 'مناسبی',\n",
       " 'اغوا',\n",
       " '189',\n",
       " '200',\n",
       " '678',\n",
       " 'اساس',\n",
       " '343',\n",
       " '58',\n",
       " ...]"
      ]
     },
     "execution_count": 77,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pure_token"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 78,
   "metadata": {},
   "outputs": [],
   "source": [
    "pure_text = ' '.join(pure_token)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 82,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('pure.txt','w',encoding='utf-8') as f:\n",
    "    f.write(pure_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 103,
   "metadata": {},
   "outputs": [],
   "source": [
    "with open('pure.txt', 'r', encoding='utf-8') as f:\n",
    "    new_text = f.read()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 74,
   "metadata": {},
   "outputs": [],
   "source": [
    "persian_text = arabic_reshaper.reshape(text)\n",
    "persian_text = get_display(persian_text)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 75,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "image/png": 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\n",
      "text/plain": [
       "<Figure size 1440x720 with 1 Axes>"
      ]
     },
     "metadata": {
      "needs_background": "light"
     },
     "output_type": "display_data"
    },
    {
     "data": {
      "text/plain": [
       "<wordcloud.wordcloud.WordCloud at 0x216fda1a668>"
      ]
     },
     "execution_count": 75,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "wordcloud = WordCloud(width=800, height=400,background_color='white', max_words=100, font_path='NotoNaskhArabic-Regular.ttf').generate(persian_text)\n",
    "# Display the generated image:\n",
    "plt.figure( figsize=(20,10) )\n",
    "plt.imshow(wordcloud, interpolation='bilinear')\n",
    "plt.axis(\"off\")\n",
    "plt.show()\n",
    "wordcloud.to_file('jobguy_ir.png')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 116,
   "metadata": {},
   "outputs": [],
   "source": [
    "a = ['a', 'b', 'c']\n",
    "a.remove('b')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 117,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['a', 'c']"
      ]
     },
     "execution_count": 117,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "a"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 106,
   "metadata": {},
   "outputs": [],
   "source": [
    "from googletrans import Translator"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 107,
   "metadata": {},
   "outputs": [],
   "source": [
    "t = Translator()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 110,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'interview'"
      ]
     },
     "execution_count": 110,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.translate('مصاحبه ').text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 112,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'مصاحبه'"
      ]
     },
     "execution_count": 112,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "t.translate('interview', dest='persian').text"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 46,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "Index(...) must be called with a collection of some kind, False was passed",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-46-cc2d43ddf97e>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0md\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mcolumns\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'a'\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'b'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m=\u001b[0m\u001b[1;32mFalse\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[0;32m    390\u001b[0m                                  dtype=dtype, copy=copy)\n\u001b[0;32m    391\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 392\u001b[1;33m             \u001b[0mmgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minit_dict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    393\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mMaskedArray\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    394\u001b[0m             \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmrecords\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mmrecords\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\construction.py\u001b[0m in \u001b[0;36minit_dict\u001b[1;34m(data, index, columns, dtype)\u001b[0m\n\u001b[0;32m    184\u001b[0m             \u001b[0mindex\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mextract_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m~\u001b[0m\u001b[0mmissing\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    185\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 186\u001b[1;33m             \u001b[0mindex\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mensure_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    187\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    188\u001b[0m         \u001b[1;31m# no obvious \"empty\" int column\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36mensure_index\u001b[1;34m(index_like, copy)\u001b[0m\n\u001b[0;32m   5376\u001b[0m             \u001b[0mindex_like\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mcopy\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindex_like\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5377\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m-> 5378\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0mIndex\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindex_like\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m   5379\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   5380\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36m__new__\u001b[1;34m(cls, data, dtype, copy, name, fastpath, tupleize_cols, **kwargs)\u001b[0m\n\u001b[0;32m    466\u001b[0m                          **kwargs)\n\u001b[0;32m    467\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0mdata\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m \u001b[1;32mor\u001b[0m \u001b[0mis_scalar\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 468\u001b[1;33m             \u001b[0mcls\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0m_scalar_data_error\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    469\u001b[0m         \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    470\u001b[0m             \u001b[1;32mif\u001b[0m \u001b[0mtupleize_cols\u001b[0m \u001b[1;32mand\u001b[0m \u001b[0mis_list_like\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\indexes\\base.py\u001b[0m in \u001b[0;36m_scalar_data_error\u001b[1;34m(cls, data)\u001b[0m\n\u001b[0;32m   3797\u001b[0m         raise TypeError('{0}(...) must be called with a collection of some '\n\u001b[0;32m   3798\u001b[0m                         'kind, {1} was passed'.format(cls.__name__,\n\u001b[1;32m-> 3799\u001b[1;33m                                                       repr(data)))\n\u001b[0m\u001b[0;32m   3800\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m   3801\u001b[0m     \u001b[1;33m@\u001b[0m\u001b[0mclassmethod\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mTypeError\u001b[0m: Index(...) must be called with a collection of some kind, False was passed"
     ]
    }
   ],
   "source": [
    "d = pd.DataFrame(columns=['a', 'b'], index=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 36,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "Empty DataFrame\n",
       "Columns: [a, b]\n",
       "Index: []"
      ]
     },
     "execution_count": 36,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 15,
   "metadata": {},
   "outputs": [],
   "source": [
    "d.to_csv('test.csv')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 37,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = d.append({'a':1, 'b':3}, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 38,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
       "    }\n",
       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>23</td>\n",
       "      <td>32</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "    a   b\n",
       "0   1   3\n",
       "1  23  32"
      ]
     },
     "execution_count": 38,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d.append({'a':23,'b':32}, ignore_index=True)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 45,
   "metadata": {},
   "outputs": [],
   "source": [
    "d.to_csv('test.csv', mode='a',header=False)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 41,
   "metadata": {},
   "outputs": [
    {
     "ename": "ValueError",
     "evalue": "If using all scalar values, you must pass an index",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mValueError\u001b[0m                                Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-41-a45d10dbb0a5>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[0mt\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mpd\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mDataFrame\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m{\u001b[0m\u001b[1;34m'a'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m1\u001b[0m\u001b[1;33m,\u001b[0m \u001b[1;34m'b'\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;36m3\u001b[0m\u001b[1;33m}\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\frame.py\u001b[0m in \u001b[0;36m__init__\u001b[1;34m(self, data, index, columns, dtype, copy)\u001b[0m\n\u001b[0;32m    390\u001b[0m                                  dtype=dtype, copy=copy)\n\u001b[0;32m    391\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdict\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 392\u001b[1;33m             \u001b[0mmgr\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0minit_dict\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    393\u001b[0m         \u001b[1;32melif\u001b[0m \u001b[0misinstance\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mMaskedArray\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    394\u001b[0m             \u001b[1;32mimport\u001b[0m \u001b[0mnumpy\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mma\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mmrecords\u001b[0m \u001b[1;32mas\u001b[0m \u001b[0mmrecords\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\construction.py\u001b[0m in \u001b[0;36minit_dict\u001b[1;34m(data, index, columns, dtype)\u001b[0m\n\u001b[0;32m    210\u001b[0m         \u001b[0marrays\u001b[0m \u001b[1;33m=\u001b[0m \u001b[1;33m[\u001b[0m\u001b[0mdata\u001b[0m\u001b[1;33m[\u001b[0m\u001b[0mk\u001b[0m\u001b[1;33m]\u001b[0m \u001b[1;32mfor\u001b[0m \u001b[0mk\u001b[0m \u001b[1;32min\u001b[0m \u001b[0mkeys\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    211\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 212\u001b[1;33m     \u001b[1;32mreturn\u001b[0m \u001b[0marrays_to_mgr\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdata_names\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mindex\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mcolumns\u001b[0m\u001b[1;33m,\u001b[0m \u001b[0mdtype\u001b[0m\u001b[1;33m=\u001b[0m\u001b[0mdtype\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m    213\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    214\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\construction.py\u001b[0m in \u001b[0;36marrays_to_mgr\u001b[1;34m(arrays, arr_names, index, columns, dtype)\u001b[0m\n\u001b[0;32m     49\u001b[0m     \u001b[1;31m# figure out the index, if necessary\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     50\u001b[0m     \u001b[1;32mif\u001b[0m \u001b[0mindex\u001b[0m \u001b[1;32mis\u001b[0m \u001b[1;32mNone\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m---> 51\u001b[1;33m         \u001b[0mindex\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mextract_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0marrays\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m\u001b[0;32m     52\u001b[0m     \u001b[1;32melse\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m     53\u001b[0m         \u001b[0mindex\u001b[0m \u001b[1;33m=\u001b[0m \u001b[0mensure_index\u001b[0m\u001b[1;33m(\u001b[0m\u001b[0mindex\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;32mE:\\anaconda3\\lib\\site-packages\\pandas\\core\\internals\\construction.py\u001b[0m in \u001b[0;36mextract_index\u001b[1;34m(data)\u001b[0m\n\u001b[0;32m    306\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0;32m    307\u001b[0m         \u001b[1;32mif\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mindexes\u001b[0m \u001b[1;32mand\u001b[0m \u001b[1;32mnot\u001b[0m \u001b[0mraw_lengths\u001b[0m\u001b[1;33m:\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[1;32m--> 308\u001b[1;33m             raise ValueError('If using all scalar values, you must pass'\n\u001b[0m\u001b[0;32m    309\u001b[0m                              ' an index')\n\u001b[0;32m    310\u001b[0m \u001b[1;33m\u001b[0m\u001b[0m\n",
      "\u001b[1;31mValueError\u001b[0m: If using all scalar values, you must pass an index"
     ]
    }
   ],
   "source": [
    "t = pd.DataFrame({'a':1, 'b':3})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 43,
   "metadata": {},
   "outputs": [],
   "source": [
    "d = pd.DataFrame.from_dict({'a':[1], 'b':[3]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 44,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
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       "\n",
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       "\n",
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       "        text-align: right;\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "  <tbody>\n",
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       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>3</td>\n",
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       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   a  b\n",
       "0  1  3"
      ]
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     "execution_count": 44,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "d"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 50,
   "metadata": {},
   "outputs": [],
   "source": [
    "data = pd.read_csv('scrapy_project/jubguy_ir/jubguy_ir/spiders/jobguy_data.csv', encoding='utf-8', header =None)"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 51,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
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       "\n",
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       "\n",
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       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
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       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>0</td>\n",
       "      <td>1</td>\n",
       "      <td>کافه بازار</td>\n",
       "      <td>\\n            محیط کاری فوق العادده\\n</td>\n",
       "      <td>\\n          اولین جایی هست که به طور واضح حرف ...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>1</th>\n",
       "      <td>0</td>\n",
       "      <td>2</td>\n",
       "      <td>کافه بازار</td>\n",
       "      <td>\\n            Software Engineer\\n</td>\n",
       "      <td>\\n          \\n\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>2</th>\n",
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       "      <td>3</td>\n",
       "      <td>کافه بازار</td>\n",
       "      <td>\\n            تجربه کاری فوق العاده\\n</td>\n",
       "      <td>\\n          تجربه بسیار خوب\\n</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>3</th>\n",
       "      <td>0</td>\n",
       "      <td>4</td>\n",
       "      <td>کافه بازار</td>\n",
       "      <td>\\n            بستگی داره کجاش باشید\\n</td>\n",
       "      <td>\\n          شرکت خیلی خوبی هست اگر می خوایید ی...</td>\n",
       "    </tr>\n",
       "    <tr>\n",
       "      <th>4</th>\n",
       "      <td>0</td>\n",
       "      <td>5</td>\n",
       "      <td>کافه بازار</td>\n",
       "      <td>\\n            تجربه کار\\n</td>\n",
       "      <td>\\n          محیط پویا \\n</td>\n",
       "    </tr>\n",
       "  </tbody>\n",
       "</table>\n",
       "</div>"
      ],
      "text/plain": [
       "   0  1           2                                                3  \\\n",
       "0  0  1  کافه بازار  \\n            محیط کاری فوق العادده\\n             \n",
       "1  0  2  کافه بازار      \\n            Software Engineer\\n             \n",
       "2  0  3  کافه بازار  \\n            تجربه کاری فوق العاده\\n             \n",
       "3  0  4  کافه بازار  \\n            بستگی داره کجاش باشید\\n             \n",
       "4  0  5  کافه بازار              \\n            تجربه کار\\n             \n",
       "\n",
       "                                                   4  \n",
       "0  \\n          اولین جایی هست که به طور واضح حرف ...  \n",
       "1                           \\n          \\n\\n          \n",
       "2              \\n          تجربه بسیار خوب\\n          \n",
       "3  \\n          شرکت خیلی خوبی هست اگر می خوایید ی...  \n",
       "4                   \\n          محیط پویا \\n          "
      ]
     },
     "execution_count": 51,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data.head()"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 54,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'\\n          \\n\\n        '"
      ]
     },
     "execution_count": 54,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "data[4].iloc[1]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 56,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "0"
      ]
     },
     "execution_count": 56,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(list())"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 61,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/html": [
       "<div>\n",
       "<style scoped>\n",
       "    .dataframe tbody tr th:only-of-type {\n",
       "        vertical-align: middle;\n",
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       "\n",
       "    .dataframe tbody tr th {\n",
       "        vertical-align: top;\n",
       "    }\n",
       "\n",
       "    .dataframe thead th {\n",
       "        text-align: right;\n",
       "    }\n",
       "</style>\n",
       "<table border=\"1\" class=\"dataframe\">\n",
       "  <thead>\n",
       "    <tr style=\"text-align: right;\">\n",
       "      <th></th>\n",
       "      <th>a</th>\n",
       "      <th>b</th>\n",
       "    </tr>\n",
       "  </thead>\n",
       "  <tbody>\n",
       "    <tr>\n",
       "      <th>0</th>\n",
       "      <td>1</td>\n",
       "      <td>[1, 2]</td>\n",
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       "</table>\n",
       "</div>"
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      "text/plain": [
       "   a       b\n",
       "0  1  [1, 2]"
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     },
     "execution_count": 61,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "pd.DataFrame({'a':[1], 'b':[[1,2]]})"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 62,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "'asdf1,fasdf2,adsf3'"
      ]
     },
     "execution_count": 62,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "'asdf{},fasdf{},adsf{}'.format('1','2','3')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 65,
   "metadata": {},
   "outputs": [
    {
     "ename": "TypeError",
     "evalue": "sequence item 0: expected str instance, list found",
     "output_type": "error",
     "traceback": [
      "\u001b[1;31m---------------------------------------------------------------------------\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m                                 Traceback (most recent call last)",
      "\u001b[1;32m<ipython-input-65-bb9b12aedba7>\u001b[0m in \u001b[0;36m<module>\u001b[1;34m\u001b[0m\n\u001b[1;32m----> 1\u001b[1;33m \u001b[1;33m[\u001b[0m\u001b[1;34m' '\u001b[0m\u001b[1;33m.\u001b[0m\u001b[0mjoin\u001b[0m\u001b[1;33m(\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'asfasf'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'fsdfsf'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m,\u001b[0m\u001b[1;33m[\u001b[0m\u001b[1;34m'sdfsf'\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m)\u001b[0m\u001b[1;33m]\u001b[0m\u001b[1;33m\u001b[0m\u001b[1;33m\u001b[0m\u001b[0m\n\u001b[0m",
      "\u001b[1;31mTypeError\u001b[0m: sequence item 0: expected str instance, list found"
     ]
    }
   ],
   "source": [
    "[' '.join([['asfasf'],['fsdfsf'],['sdfsf']])]"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 68,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "2"
      ]
     },
     "execution_count": 68,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "len(list([[21],[4234]]))"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": 87,
   "metadata": {},
   "outputs": [
    {
     "data": {
      "text/plain": [
       "['34', '15']"
      ]
     },
     "execution_count": 87,
     "metadata": {},
     "output_type": "execute_result"
    }
   ],
   "source": [
    "re.findall('\\d+','asdf 34 fas fsadf 15')"
   ]
  },
  {
   "cell_type": "code",
   "execution_count": null,
   "metadata": {},
   "outputs": [],
   "source": []
  }
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