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Algorithm Research & Explore
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411-414,434

Method of word vector based on centralization similarity matrix

Xu Fan
Wang Peiyan
Cai Dongfeng
Human-Computer Intelligence Research Center, Shenyang Aerospace University, Shenyang 110136, China

Abstract

This paper studied the method of word vector based on matrix factorization. It found that there was a linear correlation between the quality of no dimension reduction matrix and the quality of word vector. Furthermore, it derived a method of the word vector, which based on a kind of centring similarity matrix. This method made the similarity between similar(dissimilar or weakly similar) words relatively enhanced(weakened). In the word similarity experiments of WS-353 and RW datasets, it verified the effectiveness of the proposed method. The highest quality of the word vectors among the two datasets is 0.289 6 and 0.180 1. Centralization can improve the quality of similarity matrix, moreover it can improve the quality of word vector.

Foundation Support

辽宁省自然科学基金计划重点项目(20170540705)
国家自然科学基金资助项目(61403262)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.08.0721
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 2
Section: Algorithm Research & Explore
Pages: 411-414,434
Serial Number: 1001-3695(2019)02-021-0411-04

Publish History

[2019-02-05] Printed Article

Cite This Article

徐帆, 王裴岩, 蔡东风. 基于中心化相似度矩阵的词向量方法 [J]. 计算机应用研究, 2019, 36 (2): 411-414,434. (Xu Fan, Wang Peiyan, Cai Dongfeng. Method of word vector based on centralization similarity matrix [J]. Application Research of Computers, 2019, 36 (2): 411-414,434. )

About the Journal

  • Application Research of Computers Monthly Journal
  • Journal ID ISSN 1001-3695
    CN  51-1196/TP

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.

Aiming at the urgently needed cutting-edge technology in this discipline, Application Research of Computers reflects the mainstream technology, hot technology and the latest development trend of computer application research at home and abroad in a timely manner. The main contents of the journal include high-level academic papers in this discipline, the latest scientific research results and major application results. The contents of the columns involve new theories of computer discipline, basic computer theory, algorithm theory research, algorithm design and analysis, blockchain technology, system software and software engineering technology, pattern recognition and artificial intelligence, architecture, advanced computing, parallel processing, database technology, computer network and communication technology, information security technology, computer image graphics and its latest hot application technology.

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