Journal of Guangxi Normal University(Natural Science Edition) ›› 2016, Vol. 34 ›› Issue (2): 74-80.doi: 10.16088/j.issn.1001-6600.2016.02.011

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Analysis of Product Public Opinion Based on PPOG Semantic Grammar

CAO Yang1, TANG Suqin1, FANG Fang2, ZHAO Hongyuan3, CAO Cungen2   

  1. 1. Guangxi Key Lab of Multi-source Information Mining & Security, Guangxi Normal University, Guilin Guangxi 541004,China;
    2. Key Laboratory of Intelligent Information Processing, Institute of Computing Technology, Chinese Academyof Sciences, Beijing 100190, China;
    3. College of Applied Mathematical and Physical Science, Beijing Universityof Technology,Beijing 100124, China
  • Received:2015-11-15 Online:2016-06-25 Published:2018-09-14

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Abstract: Product quality and safety have been viewed as crucial factors to both enterprise development and customer concern. At present, keyword-based methods are the primary analysis method of product-relevant public opinion. However, due to the lack of a deep analysis of public opinions, numerous wrong results are produced. In this paper, a thematic structure of product public opinions is proposed and a product-public opinion grammar, called PPOG, is designed to analyze mircro-blogs. Through comprehensive experiments with the use of micro-blogs, it is believed that the PPOG-based analysis method of public opinion has a promising application prospect.

Key words: product quality, product public opinion grammar, product public opinion analysis

CLC Number: 

  • TP391
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