examples/kaggle/nlu_emotion_airline_demo.ipynb

{"metadata":{"kernelspec":{"language":"python","display_name":"Python 3","name":"python3"},"language_info":{"name":"python","version":"3.7.6","mimetype":"text/x-python","codemirror_mode":{"name":"ipython","version":3},"pygments_lexer":"ipython3","nbconvert_exporter":"python","file_extension":".py"}},"nbformat_minor":4,"nbformat":4,"cells":[{"cell_type":"code","source":"! wget https://setup.johnsnowlabs.com/nlu/kaggle.sh  -O - | bash\n! pip install --index-url https://test.pypi.org/simple/ --extra-index-url https://pypi.org/simple peanut_butter_data_time==3.0.1rc63 > /dev/null \n\n\nimport nlu","metadata":{"trusted":true},"execution_count":1,"outputs":[{"name":"stdout","text":"--2021-05-04 05:48:02--  https://raw.githubusercontent.com/JohnSnowLabs/nlu/3.0.1rc1/scripts/kaggle_setup.sh\nResolving raw.githubusercontent.com (raw.githubusercontent.com)... 185.199.110.133, 185.199.108.133, 185.199.111.133, ...\nConnecting to raw.githubusercontent.com (raw.githubusercontent.com)|185.199.110.133|:443... connected.\nHTTP request sent, awaiting response... 200 OK\nLength: 1567 (1.5K) [text/plain]\nSaving to: ‘STDOUT’\n\n-                   100%[===================>]   1.53K  --.-KB/s    in 0s      \n\n2021-05-04 05:48:02 (28.9 MB/s) - written to stdout [1567/1567]\n\nsetup Kaggle for PySpark 3.0.2 and Spark NLP 3.0.2\nE: Failed to fetch http://security.ubuntu.com/ubuntu/pool/universe/o/openjdk-8/openjdk-8-jre-headless_8u252-b09-1~18.04_amd64.deb  404  Not Found [IP: 91.189.88.152 80]\nE: Failed to fetch http://security.ubuntu.com/ubuntu/pool/universe/o/openjdk-8/openjdk-8-jdk-headless_8u252-b09-1~18.04_amd64.deb  404  Not Found [IP: 91.189.88.152 80]\nE: Unable to fetch some archives, maybe run apt-get update or try with --fix-missing?\n  % Total    % Received % Xferd  Average Speed   Time    Time     Time  Current\n                                 Dload  Upload   Total   Spent    Left  Speed\n100  210M  100  210M    0     0  15.9M      0  0:00:13  0:00:13 --:--:-- 18.2M\n\u001b[33mWARNING: You are using pip version 20.1.1; however, version 21.1.1 is available.\nYou should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n\u001b[33mWARNING: You are using pip version 20.1.1; however, version 21.1.1 is available.\nYou should consider upgrading via the '/opt/conda/bin/python3.7 -m pip install --upgrade pip' command.\u001b[0m\n","output_type":"stream"}]},{"cell_type":"code","source":"import nlu\nimport pandas as pd\ndf = pd.read_csv('/kaggle/input/twitter-airline-sentiment/Tweets.csv')\ndf","metadata":{"trusted":true},"execution_count":2,"outputs":[{"execution_count":2,"output_type":"execute_result","data":{"text/plain":"                 tweet_id airline_sentiment  airline_sentiment_confidence  \\\n0      570306133677760513           neutral                        1.0000   \n1      570301130888122368          positive                        0.3486   \n2      570301083672813571           neutral                        0.6837   \n3      570301031407624196          negative                        1.0000   \n4      570300817074462722          negative                        1.0000   \n...                   ...               ...                           ...   \n14635  569587686496825344          positive                        0.3487   \n14636  569587371693355008          negative                        1.0000   \n14637  569587242672398336           neutral                        1.0000   \n14638  569587188687634433          negative                        1.0000   \n14639  569587140490866689           neutral                        0.6771   \n\n               negativereason  negativereason_confidence         airline  \\\n0                         NaN                        NaN  Virgin America   \n1                         NaN                     0.0000  Virgin America   \n2                         NaN                        NaN  Virgin America   \n3                  Bad Flight                     0.7033  Virgin America   \n4                  Can't Tell                     1.0000  Virgin America   \n...                       ...                        ...             ...   \n14635                     NaN                     0.0000        American   \n14636  Customer Service Issue                     1.0000        American   \n14637                     NaN                        NaN        American   \n14638  Customer Service Issue                     0.6659        American   \n14639                     NaN                     0.0000        American   \n\n      airline_sentiment_gold             name negativereason_gold  \\\n0                        NaN          cairdin                 NaN   \n1                        NaN         jnardino                 NaN   \n2                        NaN       yvonnalynn                 NaN   \n3                        NaN         jnardino                 NaN   \n4                        NaN         jnardino                 NaN   \n...                      ...              ...                 ...   \n14635                    NaN  KristenReenders                 NaN   \n14636                    NaN         itsropes                 NaN   \n14637                    NaN         sanyabun                 NaN   \n14638                    NaN       SraJackson                 NaN   \n14639                    NaN        daviddtwu                 NaN   \n\n       retweet_count                                               text  \\\n0                  0                @VirginAmerica What @dhepburn said.   \n1                  0  @VirginAmerica plus you've added commercials t...   \n2                  0  @VirginAmerica I didn't today... Must mean I n...   \n3                  0  @VirginAmerica it's really aggressive to blast...   \n4                  0  @VirginAmerica and it's a really big bad thing...   \n...              ...                                                ...   \n14635              0  @AmericanAir thank you we got on a different f...   \n14636              0  @AmericanAir leaving over 20 minutes Late Flig...   \n14637              0  @AmericanAir Please bring American Airlines to...   \n14638              0  @AmericanAir you have my money, you change my ...   \n14639              0  @AmericanAir we have 8 ppl so we need 2 know h...   \n\n      tweet_coord              tweet_created tweet_location  \\\n0             NaN  2015-02-24 11:35:52 -0800            NaN   \n1             NaN  2015-02-24 11:15:59 -0800            NaN   \n2             NaN  2015-02-24 11:15:48 -0800      Lets Play   \n3             NaN  2015-02-24 11:15:36 -0800            NaN   \n4             NaN  2015-02-24 11:14:45 -0800            NaN   \n...           ...                        ...            ...   \n14635         NaN  2015-02-22 12:01:01 -0800            NaN   \n14636         NaN  2015-02-22 11:59:46 -0800          Texas   \n14637         NaN  2015-02-22 11:59:15 -0800  Nigeria,lagos   \n14638         NaN  2015-02-22 11:59:02 -0800     New Jersey   \n14639         NaN  2015-02-22 11:58:51 -0800     dallas, TX   \n\n                    user_timezone  \n0      Eastern Time (US & Canada)  \n1      Pacific Time (US & Canada)  \n2      Central Time (US & Canada)  \n3      Pacific Time (US & Canada)  \n4      Pacific Time (US & Canada)  \n...                           ...  \n14635                         NaN  \n14636                         NaN  \n14637                         NaN  \n14638  Eastern Time (US & Canada)  \n14639                         NaN  \n\n[14640 rows x 15 columns]","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>tweet_id</th>\n      <th>airline_sentiment</th>\n      <th>airline_sentiment_confidence</th>\n      <th>negativereason</th>\n      <th>negativereason_confidence</th>\n      <th>airline</th>\n      <th>airline_sentiment_gold</th>\n      <th>name</th>\n      <th>negativereason_gold</th>\n      <th>retweet_count</th>\n      <th>text</th>\n      <th>tweet_coord</th>\n      <th>tweet_created</th>\n      <th>tweet_location</th>\n      <th>user_timezone</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>570306133677760513</td>\n      <td>neutral</td>\n      <td>1.0000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>cairdin</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica What @dhepburn said.</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:35:52 -0800</td>\n      <td>NaN</td>\n      <td>Eastern Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>570301130888122368</td>\n      <td>positive</td>\n      <td>0.3486</td>\n      <td>NaN</td>\n      <td>0.0000</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>jnardino</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica plus you've added commercials t...</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:15:59 -0800</td>\n      <td>NaN</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>570301083672813571</td>\n      <td>neutral</td>\n      <td>0.6837</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>yvonnalynn</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica I didn't today... Must mean I n...</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:15:48 -0800</td>\n      <td>Lets Play</td>\n      <td>Central Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>570301031407624196</td>\n      <td>negative</td>\n      <td>1.0000</td>\n      <td>Bad Flight</td>\n      <td>0.7033</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>jnardino</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica it's really aggressive to blast...</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:15:36 -0800</td>\n      <td>NaN</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>570300817074462722</td>\n      <td>negative</td>\n      <td>1.0000</td>\n      <td>Can't Tell</td>\n      <td>1.0000</td>\n      <td>Virgin America</td>\n      <td>NaN</td>\n      <td>jnardino</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@VirginAmerica and it's a really big bad thing...</td>\n      <td>NaN</td>\n      <td>2015-02-24 11:14:45 -0800</td>\n      <td>NaN</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>14635</th>\n      <td>569587686496825344</td>\n      <td>positive</td>\n      <td>0.3487</td>\n      <td>NaN</td>\n      <td>0.0000</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>KristenReenders</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir thank you we got on a different f...</td>\n      <td>NaN</td>\n      <td>2015-02-22 12:01:01 -0800</td>\n      <td>NaN</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>14636</th>\n      <td>569587371693355008</td>\n      <td>negative</td>\n      <td>1.0000</td>\n      <td>Customer Service Issue</td>\n      <td>1.0000</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>itsropes</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir leaving over 20 minutes Late Flig...</td>\n      <td>NaN</td>\n      <td>2015-02-22 11:59:46 -0800</td>\n      <td>Texas</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>14637</th>\n      <td>569587242672398336</td>\n      <td>neutral</td>\n      <td>1.0000</td>\n      <td>NaN</td>\n      <td>NaN</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>sanyabun</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir Please bring American Airlines to...</td>\n      <td>NaN</td>\n      <td>2015-02-22 11:59:15 -0800</td>\n      <td>Nigeria,lagos</td>\n      <td>NaN</td>\n    </tr>\n    <tr>\n      <th>14638</th>\n      <td>569587188687634433</td>\n      <td>negative</td>\n      <td>1.0000</td>\n      <td>Customer Service Issue</td>\n      <td>0.6659</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>SraJackson</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir you have my money, you change my ...</td>\n      <td>NaN</td>\n      <td>2015-02-22 11:59:02 -0800</td>\n      <td>New Jersey</td>\n      <td>Eastern Time (US &amp; Canada)</td>\n    </tr>\n    <tr>\n      <th>14639</th>\n      <td>569587140490866689</td>\n      <td>neutral</td>\n      <td>0.6771</td>\n      <td>NaN</td>\n      <td>0.0000</td>\n      <td>American</td>\n      <td>NaN</td>\n      <td>daviddtwu</td>\n      <td>NaN</td>\n      <td>0</td>\n      <td>@AmericanAir we have 8 ppl so we need 2 know h...</td>\n      <td>NaN</td>\n      <td>2015-02-22 11:58:51 -0800</td>\n      <td>dallas, TX</td>\n      <td>NaN</td>\n    </tr>\n  </tbody>\n</table>\n<p>14640 rows × 15 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"nlu_emotion_df = nlu.load('emotion').predict(df,output_level='document')\nnlu_emotion_df","metadata":{"trusted":true},"execution_count":3,"outputs":[{"name":"stdout","text":"classifierdl_use_emotion download started this may take some time.\nApproximate size to download 21.3 MB\n[OK!]\ntfhub_use download started this may take some time.\nApproximate size to download 923.7 MB\n[OK!]\nsentence_detector_dl download started this may take some time.\nApproximate size to download 354.6 KB\n[OK!]\n","output_type":"stream"},{"execution_count":3,"output_type":"execute_result","data":{"text/plain":"                                                    text  origin_index  \\\n0                    @VirginAmerica What @dhepburn said.             0   \n1      @VirginAmerica plus you've added commercials t...             1   \n2      @VirginAmerica I didn't today... Must mean I n...             2   \n3      @VirginAmerica it's really aggressive to blast...             3   \n4      @VirginAmerica and it's a really big bad thing...             4   \n...                                                  ...           ...   \n14635  @AmericanAir thank you we got on a different f...   25769807147   \n14636  @AmericanAir leaving over 20 minutes Late Flig...   25769807148   \n14637  @AmericanAir Please bring American Airlines to...   25769807149   \n14638  @AmericanAir you have my money, you change my ...   25769807150   \n14639  @AmericanAir we have 8 ppl so we need 2 know h...   25769807151   \n\n      negativereason_gold                       sentence_embedding_tfhub_use  \\\n0                    None  [0.021437114104628563, 0.027111100032925606, -...   \n1                    None  [0.011295964941382408, -0.01899844780564308, -...   \n2                    None  [-0.013457144610583782, -0.015552197583019733,...   \n3                    None  [0.04680633917450905, -0.034680865705013275, -...   \n4                    None  [0.03326622024178505, -0.02844991348683834, -0...   \n...                   ...                                                ...   \n14635                None  [0.017243443056941032, 0.06847779452800751, -0...   \n14636                None  [-0.06216602399945259, 0.07208847254514694, -0...   \n14637                None  [-0.01714656874537468, 0.06899432092905045, -0...   \n14638                None  [0.04970557615160942, 0.014138667844235897, 0....   \n14639                None  [-0.039850689470767975, 0.013127874583005905, ...   \n\n                   tweet_created tweet_location          negativereason  \\\n0      2015-02-24 11:35:52 -0800           None                    None   \n1      2015-02-24 11:15:59 -0800           None                    None   \n2      2015-02-24 11:15:48 -0800      Lets Play                    None   \n3      2015-02-24 11:15:36 -0800           None              Bad Flight   \n4      2015-02-24 11:14:45 -0800           None              Can't Tell   \n...                          ...            ...                     ...   \n14635  2015-02-22 12:01:01 -0800           None                    None   \n14636  2015-02-22 11:59:46 -0800          Texas  Customer Service Issue   \n14637  2015-02-22 11:59:15 -0800  Nigeria,lagos                    None   \n14638  2015-02-22 11:59:02 -0800     New Jersey  Customer Service Issue   \n14639  2015-02-22 11:58:51 -0800     dallas, TX                    None   \n\n      tweet_coord                                           document  \\\n0            None                @VirginAmerica What @dhepburn said.   \n1            None  @VirginAmerica plus you've added commercials t...   \n2            None  @VirginAmerica I didn't today... Must mean I n...   \n3            None  @VirginAmerica it's really aggressive to blast...   \n4            None  @VirginAmerica and it's a really big bad thing...   \n...           ...                                                ...   \n14635        None  @AmericanAir thank you we got on a different f...   \n14636        None  @AmericanAir leaving over 20 minutes Late Flig...   \n14637        None  @AmericanAir Please bring American Airlines to...   \n14638        None  @AmericanAir you have my money, you change my ...   \n14639        None  @AmericanAir we have 8 ppl so we need 2 know h...   \n\n              airline  ...               user_timezone airline_sentiment_gold  \\\n0      Virgin America  ...  Eastern Time (US & Canada)                   None   \n1      Virgin America  ...  Pacific Time (US & Canada)                   None   \n2      Virgin America  ...  Central Time (US & Canada)                   None   \n3      Virgin America  ...  Pacific Time (US & Canada)                   None   \n4      Virgin America  ...  Pacific Time (US & Canada)                   None   \n...               ...  ...                         ...                    ...   \n14635        American  ...                        None                   None   \n14636        American  ...                        None                   None   \n14637        American  ...                        None                   None   \n14638        American  ...  Eastern Time (US & Canada)                   None   \n14639        American  ...                        None                   None   \n\n                 tweet_id  airline_sentiment             name retweet_count  \\\n0      570306133677760513            neutral          cairdin             0   \n1      570301130888122368           positive         jnardino             0   \n2      570301083672813571            neutral       yvonnalynn             0   \n3      570301031407624196           negative         jnardino             0   \n4      570300817074462722           negative         jnardino             0   \n...                   ...                ...              ...           ...   \n14635  569587686496825344           positive  KristenReenders             0   \n14636  569587371693355008           negative         itsropes             0   \n14637  569587242672398336            neutral         sanyabun             0   \n14638  569587188687634433           negative       SraJackson             0   \n14639  569587140490866689            neutral        daviddtwu             0   \n\n                                                sentence   emotion  \\\n0                  [@VirginAmerica What @dhepburn said.]  surprise   \n1      [@VirginAmerica plus you've added commercials ...       joy   \n2      [@VirginAmerica I didn't today., .., Must mean...   sadness   \n3      [@VirginAmerica it's really aggressive to blas...      fear   \n4      [@VirginAmerica and it's a really big bad thin...  surprise   \n...                                                  ...       ...   \n14635  [@AmericanAir thank you we got on a different ...       joy   \n14636  [@AmericanAir leaving over 20 minutes Late Fli...       joy   \n14637  [@AmericanAir Please bring American Airlines t...   sadness   \n14638  [@AmericanAir you have my money, you change my...   sadness   \n14639  [@AmericanAir we have 8 ppl so we need 2 know ...       joy   \n\n      emotion_confidence_confidence  airline_sentiment_confidence  \n0                          0.996009                        1.0000  \n1                          0.971736                        0.3486  \n2                          0.987823                        0.6837  \n3                          0.999637                        1.0000  \n4                          0.990764                        1.0000  \n...                             ...                           ...  \n14635                      0.999056                        0.3487  \n14636                      0.999932                        1.0000  \n14637                      0.999648                        1.0000  \n14638                      0.997880                        1.0000  \n14639                      0.795323                        0.6771  \n\n[14640 rows x 21 columns]","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>text</th>\n      <th>origin_index</th>\n      <th>negativereason_gold</th>\n      <th>sentence_embedding_tfhub_use</th>\n      <th>tweet_created</th>\n      <th>tweet_location</th>\n      <th>negativereason</th>\n      <th>tweet_coord</th>\n      <th>document</th>\n      <th>airline</th>\n      <th>...</th>\n      <th>user_timezone</th>\n      <th>airline_sentiment_gold</th>\n      <th>tweet_id</th>\n      <th>airline_sentiment</th>\n      <th>name</th>\n      <th>retweet_count</th>\n      <th>sentence</th>\n      <th>emotion</th>\n      <th>emotion_confidence_confidence</th>\n      <th>airline_sentiment_confidence</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>@VirginAmerica What @dhepburn said.</td>\n      <td>0</td>\n      <td>None</td>\n      <td>[0.021437114104628563, 0.027111100032925606, -...</td>\n      <td>2015-02-24 11:35:52 -0800</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>@VirginAmerica What @dhepburn said.</td>\n      <td>Virgin America</td>\n      <td>...</td>\n      <td>Eastern Time (US &amp; Canada)</td>\n      <td>None</td>\n      <td>570306133677760513</td>\n      <td>neutral</td>\n      <td>cairdin</td>\n      <td>0</td>\n      <td>[@VirginAmerica What @dhepburn said.]</td>\n      <td>surprise</td>\n      <td>0.996009</td>\n      <td>1.0000</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>@VirginAmerica plus you've added commercials t...</td>\n      <td>1</td>\n      <td>None</td>\n      <td>[0.011295964941382408, -0.01899844780564308, -...</td>\n      <td>2015-02-24 11:15:59 -0800</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>@VirginAmerica plus you've added commercials t...</td>\n      <td>Virgin America</td>\n      <td>...</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n      <td>None</td>\n      <td>570301130888122368</td>\n      <td>positive</td>\n      <td>jnardino</td>\n      <td>0</td>\n      <td>[@VirginAmerica plus you've added commercials ...</td>\n      <td>joy</td>\n      <td>0.971736</td>\n      <td>0.3486</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>@VirginAmerica I didn't today... Must mean I n...</td>\n      <td>2</td>\n      <td>None</td>\n      <td>[-0.013457144610583782, -0.015552197583019733,...</td>\n      <td>2015-02-24 11:15:48 -0800</td>\n      <td>Lets Play</td>\n      <td>None</td>\n      <td>None</td>\n      <td>@VirginAmerica I didn't today... Must mean I n...</td>\n      <td>Virgin America</td>\n      <td>...</td>\n      <td>Central Time (US &amp; Canada)</td>\n      <td>None</td>\n      <td>570301083672813571</td>\n      <td>neutral</td>\n      <td>yvonnalynn</td>\n      <td>0</td>\n      <td>[@VirginAmerica I didn't today., .., Must mean...</td>\n      <td>sadness</td>\n      <td>0.987823</td>\n      <td>0.6837</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>@VirginAmerica it's really aggressive to blast...</td>\n      <td>3</td>\n      <td>None</td>\n      <td>[0.04680633917450905, -0.034680865705013275, -...</td>\n      <td>2015-02-24 11:15:36 -0800</td>\n      <td>None</td>\n      <td>Bad Flight</td>\n      <td>None</td>\n      <td>@VirginAmerica it's really aggressive to blast...</td>\n      <td>Virgin America</td>\n      <td>...</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n      <td>None</td>\n      <td>570301031407624196</td>\n      <td>negative</td>\n      <td>jnardino</td>\n      <td>0</td>\n      <td>[@VirginAmerica it's really aggressive to blas...</td>\n      <td>fear</td>\n      <td>0.999637</td>\n      <td>1.0000</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>@VirginAmerica and it's a really big bad thing...</td>\n      <td>4</td>\n      <td>None</td>\n      <td>[0.03326622024178505, -0.02844991348683834, -0...</td>\n      <td>2015-02-24 11:14:45 -0800</td>\n      <td>None</td>\n      <td>Can't Tell</td>\n      <td>None</td>\n      <td>@VirginAmerica and it's a really big bad thing...</td>\n      <td>Virgin America</td>\n      <td>...</td>\n      <td>Pacific Time (US &amp; Canada)</td>\n      <td>None</td>\n      <td>570300817074462722</td>\n      <td>negative</td>\n      <td>jnardino</td>\n      <td>0</td>\n      <td>[@VirginAmerica and it's a really big bad thin...</td>\n      <td>surprise</td>\n      <td>0.990764</td>\n      <td>1.0000</td>\n    </tr>\n    <tr>\n      <th>...</th>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n      <td>...</td>\n    </tr>\n    <tr>\n      <th>14635</th>\n      <td>@AmericanAir thank you we got on a different f...</td>\n      <td>25769807147</td>\n      <td>None</td>\n      <td>[0.017243443056941032, 0.06847779452800751, -0...</td>\n      <td>2015-02-22 12:01:01 -0800</td>\n      <td>None</td>\n      <td>None</td>\n      <td>None</td>\n      <td>@AmericanAir thank you we got on a different f...</td>\n      <td>American</td>\n      <td>...</td>\n      <td>None</td>\n      <td>None</td>\n      <td>569587686496825344</td>\n      <td>positive</td>\n      <td>KristenReenders</td>\n      <td>0</td>\n      <td>[@AmericanAir thank you we got on a different ...</td>\n      <td>joy</td>\n      <td>0.999056</td>\n      <td>0.3487</td>\n    </tr>\n    <tr>\n      <th>14636</th>\n      <td>@AmericanAir leaving over 20 minutes Late Flig...</td>\n      <td>25769807148</td>\n      <td>None</td>\n      <td>[-0.06216602399945259, 0.07208847254514694, -0...</td>\n      <td>2015-02-22 11:59:46 -0800</td>\n      <td>Texas</td>\n      <td>Customer Service Issue</td>\n      <td>None</td>\n      <td>@AmericanAir leaving over 20 minutes Late Flig...</td>\n      <td>American</td>\n      <td>...</td>\n      <td>None</td>\n      <td>None</td>\n      <td>569587371693355008</td>\n      <td>negative</td>\n      <td>itsropes</td>\n      <td>0</td>\n      <td>[@AmericanAir leaving over 20 minutes Late Fli...</td>\n      <td>joy</td>\n      <td>0.999932</td>\n      <td>1.0000</td>\n    </tr>\n    <tr>\n      <th>14637</th>\n      <td>@AmericanAir Please bring American Airlines to...</td>\n      <td>25769807149</td>\n      <td>None</td>\n      <td>[-0.01714656874537468, 0.06899432092905045, -0...</td>\n      <td>2015-02-22 11:59:15 -0800</td>\n      <td>Nigeria,lagos</td>\n      <td>None</td>\n      <td>None</td>\n      <td>@AmericanAir Please bring American Airlines to...</td>\n      <td>American</td>\n      <td>...</td>\n      <td>None</td>\n      <td>None</td>\n      <td>569587242672398336</td>\n      <td>neutral</td>\n      <td>sanyabun</td>\n      <td>0</td>\n      <td>[@AmericanAir Please bring American Airlines t...</td>\n      <td>sadness</td>\n      <td>0.999648</td>\n      <td>1.0000</td>\n    </tr>\n    <tr>\n      <th>14638</th>\n      <td>@AmericanAir you have my money, you change my ...</td>\n      <td>25769807150</td>\n      <td>None</td>\n      <td>[0.04970557615160942, 0.014138667844235897, 0....</td>\n      <td>2015-02-22 11:59:02 -0800</td>\n      <td>New Jersey</td>\n      <td>Customer Service Issue</td>\n      <td>None</td>\n      <td>@AmericanAir you have my money, you change my ...</td>\n      <td>American</td>\n      <td>...</td>\n      <td>Eastern Time (US &amp; Canada)</td>\n      <td>None</td>\n      <td>569587188687634433</td>\n      <td>negative</td>\n      <td>SraJackson</td>\n      <td>0</td>\n      <td>[@AmericanAir you have my money, you change my...</td>\n      <td>sadness</td>\n      <td>0.997880</td>\n      <td>1.0000</td>\n    </tr>\n    <tr>\n      <th>14639</th>\n      <td>@AmericanAir we have 8 ppl so we need 2 know h...</td>\n      <td>25769807151</td>\n      <td>None</td>\n      <td>[-0.039850689470767975, 0.013127874583005905, ...</td>\n      <td>2015-02-22 11:58:51 -0800</td>\n      <td>dallas, TX</td>\n      <td>None</td>\n      <td>None</td>\n      <td>@AmericanAir we have 8 ppl so we need 2 know h...</td>\n      <td>American</td>\n      <td>...</td>\n      <td>None</td>\n      <td>None</td>\n      <td>569587140490866689</td>\n      <td>neutral</td>\n      <td>daviddtwu</td>\n      <td>0</td>\n      <td>[@AmericanAir we have 8 ppl so we need 2 know ...</td>\n      <td>joy</td>\n      <td>0.795323</td>\n      <td>0.6771</td>\n    </tr>\n  </tbody>\n</table>\n<p>14640 rows × 21 columns</p>\n</div>"},"metadata":{}}]},{"cell_type":"code","source":"nlu_emotion_df['emotion'].value_counts().plot.bar(title='Predicted emotion labels count in dataset')\n","metadata":{"trusted":true},"execution_count":4,"outputs":[{"execution_count":4,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7f9ef68c94d0>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 432x288 with 1 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"counts = nlu_emotion_df.groupby('user_timezone')['emotion'].value_counts()\ncounts[counts >10].plot.bar(figsize=(25,8),title='Emotion tweet counts by user time zone')","metadata":{"trusted":true},"execution_count":5,"outputs":[{"execution_count":5,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7f9ef6e90190>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1800x576 with 1 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\n"},"metadata":{"needs_background":"light"}}]},{"cell_type":"code","source":"nlu_emotion_df.groupby('airline')['emotion'].value_counts().plot.bar(figsize=(20,8), title='Emotion tweet counts grouped by airline')\n","metadata":{"trusted":true},"execution_count":6,"outputs":[{"execution_count":6,"output_type":"execute_result","data":{"text/plain":"<matplotlib.axes._subplots.AxesSubplot at 0x7f9ef8553050>"},"metadata":{}},{"output_type":"display_data","data":{"text/plain":"<Figure size 1440x576 with 1 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\n"},"metadata":{"needs_background":"light"}}]}]}