The Twitter Sentiment Analysis App

Analysing Trump Tweets Daily

The Twitter Sentiment Analysis App was developed using R and Tableau. Gathering data from a user's Twitter account, the App runs a sentiment analysis by scrubbing the user's tweets and referencing the Syuzhet lexicon. In this example, the App is showing Trump's Twitter usage, showing the amount he tweets by categorized by month in the pie chart, the polarization of sentiments he uses by percent in a radial graph, a word cloud of his 50 most used words, the amount of each sentiment he has used displayed in the bar graph, a filled line chart of how many tweets and retweets he has done within 2020, and a running index of his tweets. These are all organized and updated daily.