Mona-s-up2-Twitter-Sentiment-Analysis-of-news-from-American-profiles-using-R-and-ShinyDashboard

In this application, the user would be able to extract data from Twitter. I focus the work on American twitter profiles. I resort to text mining in order to create a wordcloud which shows the most frequented words used in the last 100 tweets. The tweets would be cleaned before the display of the wordcloud. The user may change the number of tweets extracted using the radio button. Morever, I perform a sentiment analysis of textual contents of twitter posts by using the categories identified as anger, anticipation, disgust, fear, joy, negative, positive, sadness, surprise and trust. It would be possible to download the barplot.