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.
CITATION STYLE
Velcin, J., Gourru, A., Giry-Fouquet, E., Gravier, C., Roche, M., & Poncelet, P. (2018). Readitopics: Make your topic models readable via labeling and browsing. In IJCAI International Joint Conference on Artificial Intelligence (Vol. 2018-July, pp. 5874–5876). International Joint Conferences on Artificial Intelligence. https://doi.org/10.24963/ijcai.2018/867
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