System Development & Application
|
App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 7
2087-2092

Novel method of using statistical information to construct feature representation in sentiment classification

Han Tonghui
Yang Dongqiang
Ma Hongwei
School of Computer Science & Technology, Shandong Jianzhu University, Jinan 250100, China
DOI: 10.19734/j.issn.1001-3695.2018.01.0035

Abstract

Data representation is closely related to the performance of text classification method. There exist three typical methods, namely lexical co-occurrence, latent semantic analysis(LSA) or latent semantic analysis(LSA) or singular value decomposition(SVD), and various neural language models. This paper introduced a feature space construction method only using statistical information. The method first collected 7 types of common word's statistical information, and then chose independent features through correlation analysis, to contrast word feature space vector. This method could effectively reduce the dimension size of vector space models, and could effectively lower computation complexity in deriving latent semantic space. The sentiment classification results show that in contrast with those current data representation methods, this method can significantly improve the accuracy and recall rates for different classifier.

Foundation Support

国家社科基金资助项目(17BYY19)
国家教育部人文社科基金资助项目(15YJA740054)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2018.01.0035
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 7
Section: System Development & Application
Pages: 2087-2092
Serial Number: 1001-3695(2019)07-037-2087-06

Publish History

[2019-07-05] Printed Article

Cite This Article

韩彤晖, 杨东强, 马宏伟. 一种利用情感词统计信息构造文本特征表示的方法 [J]. 计算机应用研究, 2019, 36 (7): 2087-2092. (Han Tonghui, Yang Dongqiang, Ma Hongwei. Novel method of using statistical information to construct feature representation in sentiment classification [J]. Application Research of Computers, 2019, 36 (7): 2087-2092. )

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  • 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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