Title: Comments Analysis and Visualization Based on Topic Modeling and Topic Phrase Mining

Year of Publication: March - 2015
Page Numbers: 1-6
Authors: David Ramamonjisoa, Riki Murakami, Basabi Chakraborty
Conference Name: The Third International Conference on E-Technologies and Business on the Web (EBW2015)
- France


The number of user-contributed comments is increasing exponentially. Such comments are found widely in social media sites including internet discussion forums and news agency websites. In this paper, we summarize the current approaches to text analysis and the visualization tools which deal with opinion and topics mining of those comments. We then describe experiments for topic modeling on users' comments and examine the possible extensions of methods on visualization, sentiment analysis and opinion summarization systems.