Please wait a minute...
New Technology of Library and Information Service  2016, Vol. 32 Issue (10): 1-12    DOI: 10.11925/infotech.1003-3513.2016.10.01
Orginal Article Current Issue | Archive | Adv Search |
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
Download: PDF(1050 KB)   HTML ( 61
Export: BibTeX | EndNote (RIS)      
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     
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.

URL:

http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/10.11925/infotech.1003-3513.2016.10.01     OR     http://manu44.magtech.com.cn/Jwk_infotech_wk3/EN/Y2016/V32/I10/1

[1] Amarouche K, Benbrahim H, Kassou I.Product Opinion Mining for Competitive Intelligence[J]. Procedia Computer Science, 2015, 73: 358-365.
[2] Xu K, Liao S S, Li J, et al.Mining Comparative Opinions from Customer Reviews for Competitive Intelligence[J]. Decision Support Systems, 2011, 50(4): 743-754.
[3] Kim Y, Jeong S R, Dwivedi R, et al.Competitive Intelligence in Social Media Twitter: iPhone 6 vs. Galaxy S5[J]. Online Information Review, 2016, 40(1): 42-61.
[4] Shen J, Li Y, Akula V, et al.Gaining Competitive Intelligence from Social Media Data[J]. Industrial Management & Data Systems, 2015, 115(9): 1622-1636.
[5] Jin J, Ji P, Gu R.Identifying Comparative Customer Requirements from Product Online Reviews for Competitor Analysis[J]. Engineering Applications of Artificial Intelligence, 2016, 49: 61-73.
[6] 王洪伟, 蒋文瑛, 高松,等. 面向竞争力分析的中文在线评论的比较观点识别: 以餐饮业为例[J]. 情报学报, 2015, 34(12): 1259-1264.
[6] (Wang Hongwei, Jiang Wenying, Gao Song, et al.Mining Comparison Opinions for Competitive Analysis by Sentiment Analysis: Evidence from Online Restaurant Reviews[J]. Journal of the China Society for Scientific and Technical Information, 2015, 34(12): 1259-1264. )
[7] Jindal N, Liu B.Mining Comparative Sentences and Relations[C]. In: Proceedings of the 21st National Conference on Artificial Intelligence, Boston, Massachusetts, US. AAAI, 2006.
[8] Jindal N, Liu B.Identifying Comparative Sentences in Text Documents[C]. In: Proceedings of the 29th Annual International ACM SIGIR Conference on Research and Development in Information Retrieval, Seattle, WA, USA. New York: ACM, 2006.
[9] Wang S, Li H, Song X.Automatic Semantic Role Labeling for Chinese Comparative Sentences Based on Hybrid Patterns[C]. In: Proceedings of the 2010 International Conference on Artificial Intelligence and Computational Intelligence (AICI), Sanya, China. IEEE, 2010: 378-382.
[10] Liu B.Sentiment Analysis and Opinion Mining[J]. Synthesis Lectures on Human Language Technologies, 2012, 5(1): 1-167.
[11] Ganapathibhotla M, Liu B.Mining Opinions in Comparative Sentences[C]. In: Proceedings of the 22nd International Conference on Computational Linguistics. Stroudsburg, PA, USA: ACL, 2008: 241-248.
[12] 王巍, 赵铁军, 徐冰, 等. 中文比较句的自动识别[J]. 智能计算机与应用, 2015, 5(5): 1-3.
[12] (Wang Wei, Zhao Tiejun, Xu Bing, et al.Automatic Identify Chinese Comparative Sentences[J]. Intelligent Computer and Applications, 2015, 5(5): 1-3.)
[13] Sawada O.Pragmatic Aspects of Implicit Comparison: An Economy-Based Approach[J]. Journal of Pragmatics, 2009, 41(6): 1079-1103.
[14] 尚平. 比较句系统研究综述[J]. 语言文字应用, 2006(S2): 77-80.
[14] (Shang Ping.Literature Review of Systematic Research on Comparative Sentence[J]. Applied Linguistics, 2006(S2): 77-80.)
[15] 白林楠, 胡韧奋, 刘智颖. 基于句法语义规则系统的比较句自动识别[J]. 北京大学学报: 自然科学版, 2015, 51(2): 275-281.
[15] (Bai Linnan, Hu Renfen, Liu Zhiying.Recognition of Comparative Sentences Based on Syntactic and Semantic Rules-System[J]. Acta Scientiarum Naturalium Universitatis Pekinensis, 2015, 51(2): 275-281.)
[16] 王素格, 赵策力, 刘慧慧. 基于规则与序列模式的比较要素缺省识别[J]. 山西大学学报: 自然科学版, 2015, 38(1): 85-92.
[16] (Wang Suge, Zhao Celi, Liu Huihui.Comparison Element Ellipsis Identification Based on Rules and Sequence Patterns[J]. Journal of Shanxi University: Natural Science Edition, 2015, 38(1): 85-92.)
[17] 吕叔湘. 中国文法要略[M]. 北京: 商务印书馆, 1990.
[17] (Lv Shuxiang.Essentials of Chinese Grammar[M]. Beijing: The Commercial Press, 1990.)
[18] 黎锦熙, 周迟明. 比较文法:词位与句式[M]. 上海: 上海书店, 1989.
[18] (Li Jinxi, Zhou Chiming.Comparative Grammar: Words and Sentence Patterns[M]. Shanghai: Shanghai Bookstore Publishing House, 1989.)
[19] 张辰, 冯冲, 刘全超,等. 基于多特征融合的中文比较句识别算法[J]. 中文信息学报, 2013, 27(6): 110-117.
[19] (Zhang Chen, Feng Chong, Liu Quanchao, et al.Chinese Comparative Sentence Identification Based on Multi-feature Fusion[J]. Journal of Chinese Information Processing, 2013, 27(6): 110-117.)
[20] Lerner J Y, Pinkal M.Comparatives and Nested Quantification [C]. In: Proceedings of the 8th Amsterdam Colloquium. 1992.
[21] Kennedy C.Comparatives, Semantics[A]. // Encyclopedia of Philosophy of Language and Linguistics[M]. The 2nd Edition, Elsvier, 2006.
[22] Schwarzschild R.The Semantics of Comparatives and Other Degree Constructions[J]. Language and Linguistics Compass, 2008, 2(2): 308-331.
[23] Rett J.Degree Modification in Natural Language[M]. ProQuest, 2008.
[24] 刘焱. “比” 字句对比较项选择的语义认知基础[J]. 上海财经大学学报, 2004, 6(5): 76-80.
[24] (Liu Yan.On Requirements of “Bi” Sentences for the Choice of Comparative Objects[J]. Journal of Shanghai University of Finance and Economics, 2004, 6(5): 76-80.)
[25] 何元建. 现代汉语比较句式的句法结构[J]. 汉语学习, 2010(5): 11-19.
[25] (He Yuanjian.Constituency and Grammatical Categories: The Case of Comparative Constructionsin Mandarin Chinese[J]. Chinese Language Learning, 2010(5): 11-19.)
[26] Lin J.Chinese Comparatives and Their Implicational Parameters[J]. Natural Language Semantics, 2009, 17(1): 1-27.
[27] Xie Z.The Relevance of Gradability in Natural Language: Chinese and English[D]. Cornell University, 2011.
[28] 李建军. 比较句与比较关系识别研究及其应用[D]. 重庆: 重庆大学, 2011.
[28] (Li Jianjun.Research on the Identification of Comparative Sentences and Relations and Its Application [D]. Chongqing: Chongqing University, 2011.)
[29] Li X.Degreeless Comparatives: The Semantics of Differential Verbal Comparatives in Mandarin Chinese[J]. Journal of Semantics, 2013, 32(1): 1-38.
[30] 宋锐, 林鸿飞, 常富洋. 中文比较句识别及比较关系抽取[J]. 中文信息学报, 2009, 23(2): 102-107.
[30] (Song Rui, Lin Hongfei, Chang Fuyang.Chinese Comparative Sentences Identification and Comparative Relations Extraction[J]. Journal of Chinese Information Processing, 2009, 23(2): 102-107.)
[31] Huang X, Wan X, Yang J, et al.Learning to Identify Comparative Sentences in Chinese Text[C]. In: Proceedings of the 10th Pacific Rim International Conference on Artificial Intelligence, Hanoi, Vietnam. Springer, 2008.
[32] 黄高辉, 姚天昉, 刘全升. 基于CRF 算法的汉语比较句识别和关系抽取[J]. 计算机应用研究, 2010, 27(6): 2061-2064.
[32] (Huang Gaohui, Yao Tianfang, Liu Quansheng.Mining Chinese Comparative Sentences and Relations Based on CRF Algorithm[J]. Application Research of Computers, 2010, 27(6): 2061-2064.)
[33] Liu Q, Huang H, Zhang C, et al.Chinese Comparative Sentence Identification Based on the Combination of Rules and Statistics[C]. In: Proceedings of the 9th International Conference on Advanced Data Mining and Applications, Hangzhou, China. Springer, 2013.
[34] 周红照, 侯明午, 侯敏,等. 基于语义分类的比较句识别与比较要素抽取研究[J]. 中文信息学报, 2014, 28(3): 136-141.
[34] (Zhou Hongzhao, Hou Mingwu, Hou Min, et al.Chinese Comparative Sentences Identification and Comparative Elements Extraction Based on Semantic Classification[J]. Journal of Chinese Information Processing, 2014, 28(3): 136-141.)
[35] Park D H, Blake C.Identifying Comparative Claim Sentences in Full-text Scientific Articles[C]. In: Proceedings of the Workshop on Detecting Structure in Scholarly Discourse. ACL, 2012.
[36] He S, Yuan F, Wang Y.Extracting the Comparative Relations for Mobile Reviews[C]. In: Proceedings of the 2nd International Conference on Consumer Electronics, Communications and Networks, Yichang, China. IEEE, 2012.
[37] Kessler W, Kuhn J.Detection of Product Comparisons-How Far does an Out-of-the-Box Semantic Role Labeling System Take You?[C]. In: Proceedings of the 2013 Conference on Empirical Methods on Natural Language Processing, Seattle, USA. ACL, 2013.
[38] Hou F, Li G H.Mining Chinese Comparative Sentences by Semantic Role Labeling[C]. In: Proceedings of the 2008 International Conference on Machine Learning and Cybernetics, Kunming, China. IEEE, 2008.
[39] Li S, Lin C Y, Song Y I, et al.Comparable Entity Mining from Comparative Questions[J]. IEEE Transactions on Knowledge and Data Engineering, 2013, 25(7): 1498-1509.
[40] Shih M J, Liu D R, Hsu M L.Discovering Competitive Intelligence by Mining Changes in Patent Trends[J]. Expert Systems with Applications, 2010, 37(4): 2882-2890.
[41] Zhang R, Jin Y.Identification and Transformation of Comparative Sentences in Patent Chinese-English Machine Translation[C]. In: Proceedings of the 2012 International Conference on Asian Language Processing, Hanoi, Vietnam. IEEE, 2012.
[42] Balahur A, Mihalcea R, Montoyo A.Computational Approaches to Subjectivity and Sentiment Analysis: Present and Envisaged Methods and Applications[J]. Computer Speech & Language, 2014, 28(1): 1-6.
[43] Wang H, Yin P, Zheng L, et al.Sentiment Classification of Online Reviews: Using Sentence-based Language Model[J]. Journal of Experimental & Theoretical Artificial Intelligence, 2014, 26(1): 13-31.
[44] Guo J L, Peng J E, Wang H C.An Opinion Feature Extraction Approach Based on A Multidimensional Sentence Analysis Model[J]. Cybernetics and Systems, 2013, 44(5): 379-401.
[45] 王洪伟, 刘勰, 尹裴,等. Web 文本情感分类研究综述[J]. 情报学报, 2010,29(5): 931-938.
[45] (Wang Hongwei, Liu Xie, Yin Pei,et al.Literature Review of Sentiment Classification on Web Text[J]. Journal of the China Society for Scientific and Technical Information, 2010,29(5): 931-938.)
[46] 张朕, 杜文韬, 刘培玉,等. 基于关联特征词表的中文比较句识别[J]. 计算机应用, 2013, 33(6): 1591-1594.
[46] (Zhang Zhen, Du Wentao, Liu Peiyu, et al.Chinese Comparative Sentences Recognition Based on Associated Feature Vocabulary[J]. Journal of Computer Applications, 2013, 33(6): 1591-1594.)
[47] Liu B, Hu M, Cheng J.Opinion Observer: Analyzing and Comparing Opinions on the Web[C]. In: Proceedings of the 14th International Conference on World Wide Web, Chiba, Japan. ACM, 2005.
[48] Lerman K, McDonald R. Contrastive Summarization: An Experiment with Consumer Reviews [C]. In: Proceedings of the 2009 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Boulder, Colorado, USA. ACL, 2009.
[49] Paul M J, Zhai C, Girju R.Summarizing Contrastive Viewpoints in Opinionated Text[C]. In: Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing, Massachusetts, USA. ACL, 2010.
[50] Fang Y, Si L, Somasundaram N, et al.Mining Contrastive Opinions on Political Texts Using Cross-perspective Topic Model [C]. In: Proceedings of the 5th ACM International Conference on Web Search and Data Mining, Seattle, Washington, USA. ACM, 2012.
[51] Sun J T, Wang X, Shen D, et al.CWS: A Comparative Web Search System[C]. In: Proceedings of the 15th International Conference on World Wide Web, Edinburgh, Scotland UK. ACM, 2006.
[52] Luo G, Tang C, Tian Y.Answering Rqueries on the Web[C]. In: Proceedings of the 16th International Conference on World Wide Web, Banff, Alberta, Canada. ACM, 2007.
[53] Zhai C, Velivelli A, Yu B.A Cross-collection Mixture Model for Comparative Text Mining[C]. In: Proceedings of the 10th ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Seattle, Washington, USA. ACM, 2004.
[54] Zhang Z, Guo C, Goes P.Product Comparison Networks for Competitive Analysis of Online Word-of-mouth[J]. ACM Transactions on Management Information Systems (TMIS), 2013, 3(4): 20-42.
[55] Wang H, Wang W.Product Weakness Finder: An Opinion-aware System Through Sentiment Analysis[J]. Industrial Management & Data Systems, 2014, 114(8): 1301-1320.
[1] Zhongxi You,Weina Hua,Xuelian Pan. Matching Book Reviews and Essential Sentiment Lexicons with Chinese Word Segmenters[J]. 数据分析与知识发现, 2019, 3(7): 23-33.
[2] Cuiqing Jiang,Yibo Guo,Yao Liu. Constructing a Domain Sentiment Lexicon Based on Chinese Social Media Text[J]. 数据分析与知识发现, 2019, 3(2): 98-107.
[3] Bengong Yu,Peihang Zhang,Qingtang Xu. Selecting Products Based on F-BiGRU Sentiment Analysis[J]. 数据分析与知识发现, 2018, 2(9): 22-30.
[4] Ziming Zeng,Qianwen Yang. Sentiment Analysis for Micro-blogs with LDA and AdaBoost[J]. 数据分析与知识发现, 2018, 2(8): 51-59.
[5] Xiufang Wang,Shu Sheng,Yan Lu. Analyzing Public Opinion from Microblog with Topic Clustering and Sentiment Intensity[J]. 数据分析与知识发现, 2018, 2(6): 37-47.
[6] Sinan Yang,Jian Xu,Pingping Ye. Review of Online Sentiment Visualization Techniques[J]. 数据分析与知识发现, 2018, 2(5): 77-87.
[7] Tingting Wang,Kaiping Wang,Guijie Qi. Analyzing Implemented Ideas from Open Innovation Platform with Sentiment Analysis: Case Study of Salesforce[J]. 数据分析与知识发现, 2018, 2(4): 38-47.
[8] Yang Zhao,Qiqi Li,Yuhan Chen,Wenhang Cao. Examining Consumer Reviews of Overseas Shopping APP with Sentiment Analysis[J]. 数据分析与知识发现, 2018, 2(11): 19-27.
[9] Yue He,Can Zhu. Sentiment Analysis of Weibo Opinion Leaders——Case Study of “Illegal Vaccine” Event[J]. 数据分析与知识发现, 2017, 1(9): 65-73.
[10] Hui Li,Yunfeng Hu. Analyzing Online Reviews with Dynamic Sentiment Topic Model[J]. 数据分析与知识发现, 2017, 1(9): 74-82.
[11] Hongli Zhang,Jiying Liu,Sinan Yang,Jian Xu. Predicting Online Users’ Ratings with Comments[J]. 数据分析与知识发现, 2017, 1(8): 48-58.
[12] Ge Gao,Junmei Luo,Yu Wang. Analyzing Textual Sentiment Based on HNC Theory[J]. 数据分析与知识发现, 2017, 1(8): 85-91.
[13] Huanrong Shou,Shuqing Deng,Jian Xu. Detecting Online Rumors with Sentiment Analysis[J]. 数据分析与知识发现, 2017, 1(7): 44-51.
[14] Chuanming Yu,Bolin Feng,Lu An. Sentiment Analysis in Cross-Domain Environment with Deep Representative Learning[J]. 数据分析与知识发现, 2017, 1(7): 73-81.
[15] Xinhui Dun,Yunqiu Zhang,Kaixi Yang. Fine-grained Sentiment Analysis Based on Weibo[J]. 数据分析与知识发现, 2017, 1(7): 61-72.
  Copyright © 2016 Data Analysis and Knowledge Discovery   Tel/Fax:(010)82626611-6626,82624938   E-mail:jishu@mail.las.ac.cn