Closed tuckermiles70 closed 3 years ago
Classifying as pos/neg: https://www.digitalocean.com/community/tutorials/how-to-perform-sentiment-analysis-in-python-3-using-the-natural-language-toolkit-nltk
Likely calculate ratio of positive tweets to negative tweets on a weekly/monthly/etc basis and compare those numbers
Either ^^ or polarity for visualization
https://www.datacamp.com/community/tutorials/text-analytics-beginners-nltk