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Readitopics: Make Your Topic Models Readable via Labeling and Browsing
Acte de colloque   Open Access

Readitopics: Make Your Topic Models Readable via Labeling and Browsing

Julien Velcin, Antoine Gourru, Erwan Giry-Fouquet, Christophe Gravier, Mathieu Roche et Pascal Poncelet
27th International Joint Conference on Artificial Intelligence
IJCAI: International Joint Conference on Artificial Intelligence (Stockholm, Sweden, 13/07/2018–19/07/2018)
2018

Résumé

Readitopics provides a new tool for browsing a textual corpus that showcases several recent work for labeling topic models and estimating topic coherence. We will demonstrate the potential of these techniques to get a deeper understanding of the topics that structure different kinds of datasets. This tool is provided as a Web demo but it can be easily installed to experiment with your own dataset. It can be further extended to deal with more advanced topic modeling techniques.

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