GitHub repository: swipswaps/Dual-Twitter-Sentiment-Analysis-with-4-Text-Summary-Tools-and-Stopwords-Scrubbed-Keywords
Description: This Python code retrieves thousands of tweets, classifies them using TextBlob and VADER in tandem, summarizes each classification using LexRank, Luhn, LSA, and LSA with stopwords, and then ranks stopwords-scrubbed keywords per classification.