Dual-Twitter-Sentiment-Analysis-with-4-Text-Summary-Tools-and-Stopwords-Scrubbed-Keywords

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.

Click here to read the WordPress blog article about this project.