Volume 8 Number 3 (Mar. 2013)
Home > Archive > 2013 > Volume 8 Number 3 (Mar. 2013) >
JSW 2013 Vol.8(3): 627-632 ISSN: 1796-217X
doi: 10.4304/jsw.8.3.627-632

Extract Product Features in Chinese Web for Opinion Mining

Lizhen Liu, Zhixin Lv, Hanshi Wang
College of Information Engineering, Capital Normal University, Beijing, China

Abstract—In sentiment analysis of product reviews, one important problem is to extract people's opinions based on product features. Through the summary of feature-level opinions, different consumers can choose their favorite products according to the features that they care about. At the same time, manufacturers can also improve the product features based on the opinions. Different words may be used to express the same product feature. In order to form a useful summary, the feature words need to be clustered into different groups based on the similarity. By analyzing the characteristics of Chinese product reviews on the Internet, a novel method based on feature clustering algorithm is proposed to deal with the feature-level opinion mining problems. Particularly, 1) features considered in this paper include not only the explicit features but also the implicit features. 2) opinion words are divided into two categories, vague opinions and clear opinions, to deal with the task. Feature clustering depends on three aspects: the corresponding opinion words, the similarities of the features in text and the structures of the features in comment. Moreover, the context information is used to enhance the clustering in the procedure. Experimental evaluation shows the outperformance of the proposed method.

Index Terms—feature-level, implicit features, opinion mining.


Cite: Lizhen Liu, Zhixin Lv, Hanshi Wang, "Extract Product Features in Chinese Web for Opinion Mining," Journal of Software vol. 8, no. 3, pp. 627-632, 2013.

General Information

ISSN: 1796-217X (Online)
Frequency: Monthly (2006-2019); Bimonthly (Since 2020)
Editor-in-Chief: Prof. Antanas Verikas
Executive Editor: Ms. Yoyo Y. Zhou
Abstracting/ Indexing: DBLP, EBSCO, ProQuest, INSPEC, ULRICH's Periodicals Directory, WorldCat, etc
E-mail: jsw@iap.org
  • Dec 06, 2019 News!

    Vol 14, No 1- Vol 14, No 4 has been indexed by EI (Inspec)   [Click]

  • Nov 18, 2019 News!

    Papers published in JSW Vol 14, No 1- Vol 14 No 10 have been indexed by DBLP     [Click]

  • Jan 31, 2020 News!

    Vol 15, No 1 has been published with online version     [Click]

  • Aug 01, 2018 News!

    [CFP] 2020 the annual meeting of JSW Editorial Board, ICCSM 2020, will be held in Rome, Italy, July 17-19, 2020   [Click]

  • Jun 25, 2019 News!

    Vol.13, No.9 has been indexed by EI (Inspec).   [Click]