A comprehensive quantitative analytic study of evolving public opinion of the COVID-19 vaccines on Twitter
- Programming Language: Python
- Tools/Libraries/APIs Used (Apart from common ones like pandas): snscrape, vader, textblob, networkX, emoji, contractions, nrclex, nltk, wordcloud, Gensim-LDA
- Total data scraped: ~2.5 million tweets from Twitter.
- Analyses performed: Sentiment Analysis, N-grams (Word-frequency) Analysis, Emotion Classification, LDA Based Topic Modeling
- Link To Data (Hosted on Gdrive): https://drive.google.com/drive/folders/18AwYubAvx6SD9LKrinT2nWFSl8YNSUWj?usp=sharing (Files ending with ...final.csv are the datsets)