Create word clouds using your own text.
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Updated
Sep 6, 2024 - TypeScript
Create word clouds using your own text.
Fast word cloud library for .NET. Uses Quadtrees for blazing-fast performance. Maintained by the KnowledgePicker team.
Android port of Kumo, a Java word cloud generator library
💗 基于 Vite 4 和 Echarts 5.x 生成词云图 Create word cloud using Vue 3.x and Echarts 5.x 自定义蒙版图形、关键词
Exploratory Data Analysis of IMDB Dataset using Pandasql, Pandas, sqlite3, NumPy, Matplotlib and Seaborn.
This project aims to detect hate speech on Twitter using advanced NLP and machine learning techniques, exploring feature extraction methods like TF-IDF and sentiment analysis, and evaluating models such as Logistic Regression and SVM.
the inaugural corpora from the nltk in Python. Speeches of the Presidents of the United States of America: President Franklin D. Roosevelt in 1941 President John F. Kennedy in 1961 President Richard Nixon in 1973
A word cloud react component built with d3-cloud.
Bilibili排行榜视频数据挖掘与分析
Tag cloud/Wordle presentation on 2D canvas or HTML
Chart.js Word Clouds
twitter classification using classic ML models
Python word cloud library for use within Jupyter notebook and Python apps.
Results of a Data analytics project at TH Wildau. Created with Orange data analytics tool, Data source: https://www.kaggle.com/datasets/PromptCloudHQ/us-jobs-on-monstercom
Just things that I don't bother keeping on my computer that may come handy in future.
The WhatsApp Chat Analyzer is a Python-based tool built with Streamlit for analyzing WhatsApp chat data. It provides insights such as total messages, word count, media shared, links shared, monthly activity timeline, most active users, activity maps, and word clouds.
A web application developed to summarize an input text or text from a PDF file. It can also find the sentiments of the statements and construct word cloud for the frequently used words.
A Machine Learning Processing with SMS Data to predict whether the SMS is Spam/Ham with various ML Algorithms like MultinomialNB, LogisticRegression, SVC, DecisionTreeClassifier, RandomForestClassifier, KNeighborsClassifier, AdaBoostClassifier, BaggingClassifier, ExtraTreesClassifier, GradientBoostingClassifier, XGBClassifier to compare accuracy an
국내 가요 노랫말 분석 (1964~2023)
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