Readitopics: Make Your Topic Models Readable via Labeling and Browsing

Readitopics: Make Your Topic Models Readable via Labeling and Browsing

Julien Velcin, Antoine Gourru, Erwan Giry-Fouquet, Christophe Gravier, Mathieu Roche, Pascal Poncelet

Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence
Readitopics provides a new tool for browsing a textual corpus that showcases several recent work on topic labeling and topic coherence. We demonstrate the potential of these techniques to get a deeper understanding of the topics that structure different datasets. This tool is provided as a Web demo but it can be installed to experiment with your own dataset. It can be further extended to deal with more advanced topic modeling techniques.
Keywords:
Natural Language Processing: NLP Applications and Tools
Natural Language Processing: Sentiment Analysis and Text Mining