TweetAnalyzerApp

Uses Twitter API to extract tweets from user-handles.
Tweets are then analyzed.
Insights such as sentiment of tweets, mention frequencies, wordclouds and more are extracted.
On running tweet_analysis.py, Three CSV files and three PNG files are created (per username) and stored in the results folder.
Insights such as comparisons of likes, retwets, and sentiment of tweets are extracted.
On running sentiment_comparison.py, one CSV file and two PNG files are created and stored in the insights_compared folder.

Usage

Add credentials into the twitter_credentials.py file.
Create two folders named results and insights_compared to store insights from tweet_analysis.py and sentiment_comparison.py respectively.
Run tweet_analysis.py after updating the usernames list found in the import on line #8.
Run sentiment_comparison.py after updating the usernames list found in the import on line #3.

Do pip install -r requirements.txt