This programme analyzes twitter tweets based on 'positive' or 'negative' wording.

Basially, it looks for occurences of positive or negative words in the tweet (from two published lists), and then and scores + 1 for pos and -1 for neg

The plot shows all 19 tweets on x = score, y = retweets

It is the Final Project for "Files, Functions, and Dictionaries" (Python 3) certification - University of Michigan via Coursera