SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets
arXiv:1607.00167
Abstract
Social Media users tend to mention entities when reacting to news events. The main purpose of this work is to create entity-centric aggregations of tweets on a daily basis. By applying topic modeling and sentiment analysis, we create data visualization insights about current events and people reactions to those events from an entity-centric perspective.