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现代图书情报技术  2016, Vol. 32 Issue (10): 1-12     https://doi.org/10.11925/infotech.1003-3513.2016.10.01
  综述评介 本期目录 | 过刊浏览 | 高级检索 |
面向在线评论的比较观点挖掘研究综述*
高松1,王洪伟1(),冯罡2,王伟3
1同济大学经济与管理学院 上海 200092
2上海通用汽车销售有限公司 上海 201206
3华侨大学工商管理学院 泉州 362021
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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摘要 

目的】对比较观点挖掘和相关研究的主流研究方法和步骤进行综述, 为相关领域的未来研究提供指导。【文献范围】从WoS, Google Scholar, CNKI中以“比较观点(Comparative Opinion)”、“比较句识别(Comparative Sentence)”、“比较关系(Comparative Relation)”等为检索词筛选获得55篇相关文献。【方法】基于文献调研, 介绍比较范畴的划分、比较句识别、比较关系抽取和比较观点情感分析等研究进展。【结果】由于有限的序列规则, 比较观点的识别难以进一步提高, 对隐形比较观点的识别研究鲜有提及, 并且现有的抽取技术难以很好地提取比较要素。此外, 比较观点缺乏细粒度的情感分析。【局限】缺乏对现有比较观点识别方法的对比分析。【结论】本文提出的研究框架可以为未来进一步研究提供参考。此外, 未来的工作重点应关注通过比较观点识别追踪潜在竞争对手, 分析产品竞争力, 以及提供不同商品的对比分析等。

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高松
王洪伟
冯罡
王伟
关键词 比较观点在线评论情感分析    
Abstract

[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
收稿日期: 2016-06-02      出版日期: 2016-11-23
基金资助:*本文系国家自然科学基金项目“在线评论对商家销售业绩的影响: 情感分析视角”(项目编号: 71371144)、国家自然科学基金项目“中文语境下基于模糊本体的用户在线评论的情感分析”(项目编号: 70971099)和上海市哲学社会科学规划课题(一般项目) “在线消费者评论对商家销售业绩的影响: 情感分析的视角” (项目编号: 2013BGL004)的研究成果之一
引用本文:   
高松,王洪伟,冯罡,王伟. 面向在线评论的比较观点挖掘研究综述*[J]. 现代图书情报技术, 2016, 32(10): 1-12.
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.
链接本文:  
http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/10.11925/infotech.1003-3513.2016.10.01      或      http://manu44.magtech.com.cn/Jwk_infotech_wk3/CN/Y2016/V32/I10/1
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