资源论文Readitopics: Make Your Topic Models Readable via Labeling and Browsing

Readitopics: Make Your Topic Models Readable via Labeling and Browsing

2019-11-06 | |  69 |   40 |   0
Abstract 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.

上一篇:Medusa: Towards Simulating a Multi-Agent Hide-and-Seek Game Akshat Tandon and Kamalakar Karlapalem

下一篇:Automated Reasoning for City Infrastructure Maintenance Decision Support

用户评价
全部评价

热门资源

  • The Variational S...

    Unlike traditional images which do not offer in...

  • Learning to Predi...

    Much of model-based reinforcement learning invo...

  • Stratified Strate...

    In this paper we introduce Stratified Strategy ...

  • A Mathematical Mo...

    Direct democracy, where each voter casts one vo...

  • Rating-Boosted La...

    The performance of a recommendation system reli...