Files related to the Sentiment Analysis Workshop on Feb 5, 2020 for USF's Big Data Analytics Lab.
This script explores the sentiment of a single tweet.
- Compare dictionaries
- Normalization and Tokenization
This script uses the GameStop_hr.json file for sentiment analysis. It visualizes the following:
- Proportions & Frequencies
- Tweet type (original, retweet, quotes, and quoted retweets)
- Average Emotion
- Positive/negative words
- Emotion faceted by polarity
- Time-Series
- Geographic
- Global
- US
- Correlations
- Between emotions (correlation matrix)
- Between emotions and variables (significance testing)