By using text mining techniques such as sentiment analysis and topic modeling and etc. We aim to answer questions such as: How did Twitter users perceive the two candidates and their policies? What were the most common topics of discussion among Twitter users during the election? Our results will provide a snapshot of the public discourse surrounding the 2016 presidential election and offer insight into the role of social media in shaping political opinions and discussions.

This dataset contains details of more than 9000 viewers watching TV shows. Each rows represent the TV shows they have watched together. I analyzed the association between some movies.