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An integration strategy for mining product features and opinions

Published: 26 October 2008 Publication History

Abstract

With the development of Web 2.0, the web has become an extremely valuable source for mining opinions. In this paper, we study how to automatically mine product features and opinions by integrating multiple review sources. We propose an integration strategy to solve the problem. Experiments show that the proposed strategy is effective.

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Minqing Hu and Bing Liu. Mining and Summarizing Customer Reviews. In Proceedings of the ACM SIGKDD Intl. Conf. on Knowledge Discovery and Data Mining (KDD04), pp. 168--177, 2004.
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Ana-Maria Popescu and Oren Etzioni. Extracting Product Features and Opinions from Reviews. In Proceedings of the Conference on Empirical Methods in Natural Language Processing (EMNLP 05), pp. 339--346, 2005.
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Jay J. Jiang and David W. Conrath. 1997. Semantic similarity based on corpus statistics and lexical taxonomy. In Proceedings of International Conference on Research in Computational Linguistics, Taiwan.
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Avigdor Gal, Giovanni Modica, Hasan Jamil, and Ami Eyal. Automatic Ontology Matching Using Application Semantics. In AI Magazine Volume 26, Issue 1, pp. 21--31, March 2005.
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Peter D. Turney. Mining the Web for synonyms: PMI-IR versus LSA on TOEFL. In Proceedings of the Twelfth European Conference on Machine Learning. Berlin: Springer-Verlag, pp. 491--502, 1991.

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cover image ACM Conferences
CIKM '08: Proceedings of the 17th ACM conference on Information and knowledge management
October 2008
1562 pages
ISBN:9781595939913
DOI:10.1145/1458082
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Association for Computing Machinery

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Publication History

Published: 26 October 2008

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Author Tags

  1. clustering
  2. information extraction
  3. opinion integration

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CIKM08
CIKM08: Conference on Information and Knowledge Management
October 26 - 30, 2008
California, Napa Valley, USA

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Overall Acceptance Rate 1,861 of 8,427 submissions, 22%

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  • (2023)Using Reviewer Information to Improve Performance of Low-Quality Review DetectionComputational Linguistics and Intelligent Text Processing10.1007/978-3-031-23804-8_30(381-399)Online publication date: 26-Feb-2023
  • (2016)Feature-based sentiment analysis in online Arabic reviews2016 11th International Conference on Computer Engineering & Systems (ICCES)10.1109/ICCES.2016.7822011(260-265)Online publication date: Dec-2016
  • (2014)Social analyticsDecision Support Systems10.1016/j.dss.2014.05.00565:C(80-94)Online publication date: 1-Sep-2014
  • (2014)Entity attribute discovery and clustering from online reviewsFrontiers of Computer Science10.1007/s11704-014-3043-88:2(279-288)Online publication date: 22-Jan-2014
  • (2013)SumViewExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.05.07040:1(27-33)Online publication date: 1-Jan-2013
  • (2012)Feature-based opinion mining and rankingJournal of Computer and System Sciences10.1016/j.jcss.2011.10.00778:4(1175-1184)Online publication date: 1-Jul-2012
  • (2012)Lexicon-based Comments-oriented News Sentiment Analyzer systemExpert Systems with Applications: An International Journal10.1016/j.eswa.2012.02.05739:10(9166-9180)Online publication date: 1-Aug-2012
  • (2012)Senti-lexicon and improved Naïve Bayes algorithms for sentiment analysis of restaurant reviewsExpert Systems with Applications: An International Journal10.1016/j.eswa.2011.11.10739:5(6000-6010)Online publication date: 1-Apr-2012
  • (2011)AskUsProceedings of the 2011 IEEE 11th International Conference on Data Mining Workshops10.1109/ICDMW.2011.24(1243-1246)Online publication date: 11-Dec-2011
  • (2010)Mining Fine Grained Opinions by Using Probabilistic Models and Domain KnowledgeProceedings of the 2010 IEEE/WIC/ACM International Conference on Web Intelligence and Intelligent Agent Technology - Volume 0110.1109/WI-IAT.2010.193(358-365)Online publication date: 31-Aug-2010
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