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System Development & Application
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App. Res. of Comp. Printed Article
Vol. 36, 2019 No. 3
866-872

Using lexical statistical features in extracting sentimental words and classifying product reviews

Han Tonghui
Yang Dongqiang
Ma Hongwei
School of Computer Science & Technology, Shandong Jianzhu University, Jinan 250100, China
DOI: 10.19734/j.issn.1001-3695.2017.09.0913

Abstract

The statistical features of words are widely used in natural language processing. This paper summarized eight types of statistical features, and studied the role of these features in extracting sentimental words and classifying product reviews. Different from the multi-dimensions of lexical elements in the vector space models(VSM), this paper only employed these 8 types of statistical features in representation of words or documents, which had the ability that could lower the VSM's dimension and could effectively derive the latent semantic space without expensive time and space complexity of SVD calculation. Sentiment words extraction result show that combining these statistical features and PoS tags of words can achieve much higher extraction accuracy than other methods with precision of 76.4%. Product reviews classification results show that in contrast with sentimental words in constructing the feature space, exclusively using these 8 kinds of statistical features can improve classification precision by 10.8%.

Foundation Support

国家教育部人文社会科学研究一般项目基金资助项目(15YJA740054)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.09.0913
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 3
Section: System Development & Application
Pages: 866-872
Serial Number: 1001-3695(2019)03-044-0866-07

Publish History

[2019-03-05] Printed Article

Cite This Article

韩彤晖, 杨东强, 马宏伟. 单词统计特性在情感词自动抽取和商品评论分类中的作用 [J]. 计算机应用研究, 2019, 36 (3): 866-872. (Han Tonghui, Yang Dongqiang, Ma Hongwei. Using lexical statistical features in extracting sentimental words and classifying product reviews [J]. Application Research of Computers, 2019, 36 (3): 866-872. )

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.

Application Research of Computers has many high-level readers and authors, and its readers are mainly senior and middle-level researchers and engineers engaged in the field of computer science, as well as teachers and students majoring in computer science and related majors in colleges and universities. Over the years, the total citation frequency and Web download rate of Application Research of Computers have been ranked among the top of similar academic journals in this discipline, and the academic papers published are highly popular among the readers for their novelty, academics, foresight, orientation and practicality.

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