{ "cells": [ { "cell_type": "markdown", "metadata": {}, "source": [ "\n", "
\n", " | tweet_id | \n", "airline_sentiment | \n", "airline_sentiment_confidence | \n", "negativereason | \n", "negativereason_confidence | \n", "airline | \n", "airline_sentiment_gold | \n", "name | \n", "negativereason_gold | \n", "retweet_count | \n", "text | \n", "tweet_coord | \n", "tweet_created | \n", "tweet_location | \n", "user_timezone | \n", "
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
14635 | \n", "569587686496825344 | \n", "positive | \n", "0.3487 | \n", "NaN | \n", "0.0000 | \n", "American | \n", "NaN | \n", "KristenReenders | \n", "NaN | \n", "0 | \n", "@AmericanAir thank you we got on a different f... | \n", "NaN | \n", "2015-02-22 12:01:01 -0800 | \n", "NaN | \n", "NaN | \n", "
14636 | \n", "569587371693355008 | \n", "negative | \n", "1.0000 | \n", "Customer Service Issue | \n", "1.0000 | \n", "American | \n", "NaN | \n", "itsropes | \n", "NaN | \n", "0 | \n", "@AmericanAir leaving over 20 minutes Late Flig... | \n", "NaN | \n", "2015-02-22 11:59:46 -0800 | \n", "Texas | \n", "NaN | \n", "
14637 | \n", "569587242672398336 | \n", "neutral | \n", "1.0000 | \n", "NaN | \n", "NaN | \n", "American | \n", "NaN | \n", "sanyabun | \n", "NaN | \n", "0 | \n", "@AmericanAir Please bring American Airlines to... | \n", "NaN | \n", "2015-02-22 11:59:15 -0800 | \n", "Nigeria,lagos | \n", "NaN | \n", "
14638 | \n", "569587188687634433 | \n", "negative | \n", "1.0000 | \n", "Customer Service Issue | \n", "0.6659 | \n", "American | \n", "NaN | \n", "SraJackson | \n", "NaN | \n", "0 | \n", "@AmericanAir you have my money, you change my ... | \n", "NaN | \n", "2015-02-22 11:59:02 -0800 | \n", "New Jersey | \n", "Eastern Time (US & Canada) | \n", "
14639 | \n", "569587140490866689 | \n", "neutral | \n", "0.6771 | \n", "NaN | \n", "0.0000 | \n", "American | \n", "NaN | \n", "daviddtwu | \n", "NaN | \n", "0 | \n", "@AmericanAir we have 8 ppl so we need 2 know h... | \n", "NaN | \n", "2015-02-22 11:58:51 -0800 | \n", "dallas, TX | \n", "NaN | \n", "
\n", " | text | \n", "tokens | \n", "
---|---|---|
3 | \n", "@VirginAmerica it's really aggressive to blast... | \n", "[@virginamerica, realli, aggress, blast, obnox... | \n", "
4 | \n", "@VirginAmerica and it's a really big bad thing... | \n", "[@virginamerica, realli, big, bad, thing] | \n", "
5 | \n", "@VirginAmerica seriously would pay $30 a fligh... | \n", "[@virginamerica, serious, would, pay, 30, flig... | \n", "
9 | \n", "@VirginAmerica it was amazing, and arrived an ... | \n", "[@virginamerica, amaz, arriv, hour, earli, good] | \n", "
11 | \n", "@VirginAmerica I <3 pretty graphics. so muc... | \n", "[@virginamerica, <3, pretti, graphic, much, be... | \n", "
12 | \n", "@VirginAmerica This is such a great deal! Alre... | \n", "[@virginamerica, great, deal, alreadi, think, ... | \n", "
14 | \n", "@VirginAmerica Thanks! | \n", "[@virginamerica, thank] | \n", "
16 | \n", "@VirginAmerica So excited for my first cross c... | \n", "[@virginamerica, excit, first, cross, countri,... | \n", "
17 | \n", "@VirginAmerica I flew from NYC to SFO last we... | \n", "[@virginamerica, flew, nyc, sfo, last, week, f... | \n", "
18 | \n", "I ❤️ flying @VirginAmerica. ☺️👍 | \n", "[❤, fli, @virginamerica, ☺, 👍] | \n", "
airline | \n", "American | \n", "Delta | \n", "Southwest | \n", "US Airways | \n", "United | \n", "Virgin America | \n", "
---|---|---|---|---|---|---|
airline_sentiment | \n", "\n", " | \n", " | \n", " | \n", " | \n", " | \n", " |
negative | \n", "1156 | \n", "467 | \n", "632 | \n", "1334 | \n", "1491 | \n", "96 | \n", "
positive | \n", "148 | \n", "241 | \n", "268 | \n", "111 | \n", "210 | \n", "73 | \n", "
airline | \n", "American | \n", "Delta | \n", "Southwest | \n", "US Airways | \n", "United | \n", "Virgin America | \n", "
---|---|---|---|---|---|---|
airline_sentiment | \n", "\n", " | \n", " | \n", " | \n", " | \n", " | \n", " |
negative | \n", "0.887 | \n", "0.66 | \n", "0.702 | \n", "0.923 | \n", "0.877 | \n", "0.568 | \n", "
positive | \n", "0.113 | \n", "0.34 | \n", "0.298 | \n", "0.077 | \n", "0.123 | \n", "0.432 | \n", "
\n", " | Error rate | \n", "Sensitivity | \n", "Specificity | \n", "AUC | \n", "Precision | \n", "
---|---|---|---|---|---|
Naive Bayes | \n", "0.071 | \n", "0.828 | \n", "0.951 | \n", "0.97 | \n", "0.779 | \n", "