This document discusses performing sentiment analysis on tweets collected from Twitter. It describes defining sentiment, collecting Twitter data using API keys, cleaning the tweet data, scoring sentiment by comparing words to lexicons, classifying emotions and polarity using naive Bayes algorithms, and visualizing results with polarity plots and word clouds. The analysis is deployed using an R Shiny app.