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Readitopics: Make your topic models readable via labeling and browsing

Velcin J., Gourru A., Giry-Fouquet E., Gravier C., Roche M., Poncelet P.. 2018. In : Lang Jérôme (ed.). Proceedings of the Twenty-Seventh International Joint Conference on Artificial Intelligence (IJCAI-18). Vienne : International Joint Conferences on Artificial Intelligence, p. 5874-5876. International Joint Conference on Artificial Intelligence (IJCAI-18). 27, 2018-07-13/2018-07-19, Stockholm (Suède).

DOI: 10.24963/ijcai.2018/867

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.

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