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New Technology of Library and Information Service  2016, Vol. 32 Issue (10): 1-12    DOI: 10.11925/infotech.1003-3513.2016.10.01
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Review of Comparative Opinions Mining Studies of Online Comments
Gao Song1,Wang Hongwei1(),Feng Gang2,Wang Wei3
1School of Economics and Management, Tongji University, Shanghai 200092, China
2 Saic General Motors Sales Co., LTD, Shanghai 201206, China
3 College of Business Administration, Huaqiao University, Quanzhou 362021, China
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[Objective] This paper reviews leading research methodologies and related studies on comparative opinion mining, and then provides useful guidance for future research. [Coverage] We retrieved 55 scholarly papers from the WoS, Google Scholar and CNKI. Using the keywords of “comparative opinion”, “comparative sentence” or “comparative relation”. [Methods] Based on the retrieved literature, we discussed the latest development in classification schemes, recognizing comparative sentences, extracting comparative relations and analyzing sentiments of the comparative opinion. [Results] Due to the finite sequence rules, it was difficult for us to further improve the performance of comparative opinion recognition techniques. Meanwhile, few studies focused on the latent comparative opinion, and the current technology could not extract the comparative elements effectively. More research was needed to conduct fine-grained sentiment analysis with comparative opinion. [Limitations] We did not examine different methods of comparative opinion mining. [Conclusions] This paper presents a framework for future studies. New research should focus on identifying and tracking potential competitors, analyzing competitive edges of products, as well as providing comparative reports for different products.

Key wordsComparative opinion      Online reviews      Sentiment analysis     
Received: 02 June 2016      Published: 23 November 2016

Cite this article:

Gao Song,Wang Hongwei,Feng Gang,Wang Wei. Review of Comparative Opinions Mining Studies of Online Comments. New Technology of Library and Information Service, 2016, 32(10): 1-12.

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