Algorithm Research & Explore
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App. Res. of Comp. Printed Article
Vol. 37, 2020 No. 10
2951-2955,2960

Text feature extraction based on hierarchical clustering with multiple semantic factors

Wang Jinga
Liu Qinga
Zhang Dehaia
Zhao Huab
Yang Yuna
a. National Pilot School of Software, b. School of Information Science & Engineering, Yunnan University, Kunming 650000, China
DOI: 10.19734/j.issn.1001-3695.2019.05.0189

Abstract

Aiming at the diversity of keywords extracted from similar texts, and the fuzzy relationship between similarity and relevance, this paper proposed a text feature extraction method based on hierarchical clustering of words. The method took the similarity and relevance of words as the semantic distance under the premise that the same word between texts affects text similarity, and according to the difference of the semantic distance, introduced a hierarchical clustering method and gave different clustering weights. Finally, it obtained a vector space model with clustering weight, which took words and clusters as the feature unit. This paper introduced word2vec to train word vectors to obtain text similarity, and according to the algorithm characteristics of Skip-Gram+Huffman softmax model, used the point mutual information formula to accurately obtain the correlation between words. The text categorization experimental results show that the proposed method can improve the accuracy of text feature extraction, and more effectively than the currently popular method of using only similarity monolayer clustering and statistics.

Foundation Support

国家自然科学基金资助项目(61562093,61263043)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2019.05.0189
Publish at: Application Research of Computers Printed Article, Vol. 37, 2020 No. 10
Section: Algorithm Research & Explore
Pages: 2951-2955,2960
Serial Number: 1001-3695(2020)10-014-2951-05

Publish History

[2020-10-05] Printed Article

Cite This Article

王靖, 柳青, 张德海, 等. 基于多语义因子分层聚类的文本特征提取方法 [J]. 计算机应用研究, 2020, 37 (10): 2951-2955,2960. (Wang Jing, Liu Qing, Zhang Dehai, et al. Text feature extraction based on hierarchical clustering with multiple semantic factors [J]. Application Research of Computers, 2020, 37 (10): 2951-2955,2960. )

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  • Application Research of Computers Monthly Journal
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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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