Sentiment Analysis: Given a data of US Airline tweets and their sentiment. The task is to do sentiment analysis about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "late flight" or "rude service").
-
Notifications
You must be signed in to change notification settings - Fork 0
Sentiment Analysis: Given a data of US Airline tweets and their sentiment. The task is to do sentiment analysis about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "lat…
License
sandeepbansode/Support_Vector_Machine_U.S._Airline_tweets_Sentiment_Analysis
Folders and files
| Name | Name | Last commit message | Last commit date | |
|---|---|---|---|---|
Repository files navigation
About
Sentiment Analysis: Given a data of US Airline tweets and their sentiment. The task is to do sentiment analysis about the problems of each major U.S. airline. Twitter data was scraped from February of 2015 and contributors were asked to first classify positive, negative, and neutral tweets, followed by categorizing negative reasons (such as "lat…
Topics
Resources
License
Stars
Watchers
Forks
Releases
No releases published
Packages 0
No packages published