Algorithm Research & Explore
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2916-2919,2951

Text similarity calculation based on WMF_LDA topic model

Zhang Lua
Lu Tianlianga,b
Du Yanhuia,b
a. Information Technology & Network Security Institute, b. CIC of Security & Law for Cyberspace, People's Public Security University of China, Beijing 100038, China

Abstract

The calculation of text similarity with LDA(latent Dirichlet allocation) model takes into account the semantic features, but it has the disadvantages of a large number of words, unconformity of the semantics of words, and the inability to dig and exploit the inter-domain differences inherent in texts of different categories. This paper proposed WMF_LDA topic model(word merging and filtering_LDA). This model mapped domain words and synonyms, and filtered the words based on POS. Finally, it used LDA theme on the processed result. Experiments show that this method greatly reduces the amount of words during modeling, reduces the time consumption of the modeling process, and improves the speed of the final text clustering. And compared with other text similarity methods, the proposed method also has a certain degree of improvement in accuracy.

Foundation Support

国家重点研发计划重点专项资助项目(2017YFB0802804)
国家自然科学基金资助项目(61602489)
中国人民公安大学2018年基本科研业务费科研机构项目(2018JKF504)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.04.0219
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 10
Section: Algorithm Research & Explore
Pages: 2916-2919,2951
Serial Number: 1001-3695(2019)10-007-2916-04

Publish History

[2019-10-05] Printed Article

Cite This Article

张璐, 芦天亮, 杜彦辉. 基于WMF_LDA主题模型的文本相似度计算 [J]. 计算机应用研究, 2019, 36 (10): 2916-2919,2951. (Zhang Lu, Lu Tianliang, Du Yanhui. Text similarity calculation based on WMF_LDA topic model [J]. Application Research of Computers, 2019, 36 (10): 2916-2919,2951. )

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Application Research of Computers, founded in 1984, is an academic journal of computing technology sponsored by Sichuan Institute of Computer Sciences under the Science and Technology Department of Sichuan Province.

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