Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics-Reference-Cited by-同舟云学术

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Class-Specific Word Sense Aware Topic Modeling via Soft Orthogonalized Topics

Published:2023-10-21 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 32nd ACM International Conference on Information and Knowledge Management
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Author:

Li Wenbo¹^ORCID,Yang Yao¹^ORCID,Suzuki Einoshin²^ORCID

Affiliation:

1. Zhejiang Laboratory, Hangzhou, China

2. Kyushu University, Fukuoka, Japan

Funder

Ministry of Science and Technology of the People's Republic of China

ZhejiangZhejiang laboratory

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3583780.3614809

Reference45 articles.

1. Machine Learning Techniques for Sentiment Analysis;Ahmad Munir;A Review. Int. J. Multidiscip. Sci. Eng,2017

2. Ricardo A Baeza-Yates . 1992 . Text-Retrieval: Theory and Practice .. In IFIP Congress (1) , Vol. 12 . Citeseer, 465--476. Ricardo A Baeza-Yates. 1992. Text-Retrieval: Theory and Practice.. In IFIP Congress (1), Vol. 12. Citeseer, 465--476.

3. Survey of Text Mining;Berry Michael W;Computing Reviews,2004

4. Latent Dirichlet Allocation;Blei David M;Journal of Machine Learning Research 3,2003

5. Jordan Boyd-Graber , David Blei , and Xiaojin Zhu . 2007 . A Topic Model for Word Sense Disambiguation . In Proc. EMNLP-CoNLL. 1024--1033 . Jordan Boyd-Graber, David Blei, and Xiaojin Zhu. 2007. A Topic Model for Word Sense Disambiguation. In Proc. EMNLP-CoNLL. 1024--1033.

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