pith. sign in

arxiv: 1607.00167 · v2 · pith:7G5ZUE5Xnew · submitted 2016-07-01 · 💻 cs.SI · cs.CL· cs.IR

SentiBubbles: Topic Modeling and Sentiment Visualization of Entity-centric Tweets

classification 💻 cs.SI cs.CLcs.IR
keywords entity-centriceventscreatemodelingsentimenttopictweetsvisualization
0
0 comments X
read the original 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.

This paper has not been read by Pith yet.

discussion (0)

Sign in with ORCID, Apple, or X to comment. Anyone can read and Pith papers without signing in.