Readitopics: Make Your Topic Models Readable via Labeling and Browsing - LIRMM - Laboratoire d’Informatique, de Robotique et de Microélectronique de Montpellier Access content directly
Conference Papers Year : 2018

Readitopics: Make Your Topic Models Readable via Labeling and Browsing

Abstract

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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Dates and versions

lirmm-01910611 , version 1 (01-11-2018)

Identifiers

  • HAL Id : lirmm-01910611 , version 1

Cite

Julien Velcin, Antoine Gourru, Erwan Giry-Fouquet, Christophe Gravier, Mathieu Roche, et al.. Readitopics: Make Your Topic Models Readable via Labeling and Browsing. IJCAI: International Joint Conference on Artificial Intelligence, Jul 2018, Stockholm, Sweden. ⟨lirmm-01910611⟩
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