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Analysis of structure characteristics of high frequency word co-occurrence network of online shopping reviews

Li Taoying
Li Feng
Lyu Xiaoning
College of Transportation Management, Dalian Maritime University, Dalian Liaoning 116026, China

Abstract

Consumers' online shopping reviews are consumers' feedback to online shopping. Mining valuable knowledge from massive online shopping reviews will not only provide safeguard for businesses to carry out precision marketing and personalized recommendation services, but also is good for consumers to make purchase decisions. Besides, management departments can use it to establish regulatory strategy. This paper reviewed the clothing online shopping comments on China's large integrated electronic business platform as the object of study, making a participle of the comments, screening high frequency words, analyzing of co-occurrence relationship between the high frequency words in order to structure co-occurrence network of high frequency word. The analysis result shows a number of structural features for the network comments hot words and a few nodes in the comment network play a dominant role in the operation of the network. On the other hand, this paper also provides the study suggestion on the interaction effects of the structure characteristics for the high frequency word co-occurrence network on the sales volume.

Foundation Support

国家社会科学基金资助项目(15CGL031)
国家自然科学基金资助项目(71271034)
大连市高层次人才创新支持计划项目(2015R063)
中央高校基本科研业务费资助项目(3132016306,3132017085)

Publish Information

DOI: 10.19734/j.issn.1001-3695.2017.06.0657
Publish at: Application Research of Computers Printed Article, Vol. 36, 2019 No. 1
Section: Algorithm Research & Explore
Pages: 53-57
Serial Number: 1001-3695(2019)01-012-0053-05

Publish History

[2019-01-05] Printed Article

Cite This Article

李桃迎, 李峰, 吕晓宁. 网购评语高频词共现网络的结构特征分析 [J]. 计算机应用研究, 2019, 36 (1): 53-57. (Li Taoying, Li Feng, Lyu Xiaoning. Analysis of structure characteristics of high frequency word co-occurrence network of online shopping reviews [J]. Application Research of Computers, 2019, 36 (1): 53-57. )

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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