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SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets
Published 1 Jul 2016 in cs.SI, cs.CL, and cs.IR | (1607.00167v2)
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.
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