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Research of product ranking technology based on opinion mining

  • Peiliang Tian*
  • , Yuanchao Liu
  • , Ming Liu
  • , Shanzong Zhu
  • *Corresponding author for this work
  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

Since more and more users express their reviews on the web, opinion mining becomes much important. Polarity analyzing and opinion mining is the process of automatically mining polarity and opinion with computer technology. This paper focuses on mining opinion of Chinese review sentences, obtaining comprehensive evaluation of product and ranking product in some feature or in all features. Methods are introduced to mine opinion by natural language processing techniques. Product-features that users show interest in will be extracted by searching in ontology, polarity strength will be separated into static polarity and dynamic polarity to compute by searching in polarity lexicon and polarity strength will be mapped to features by using syntactic parser.

Original languageEnglish
Title of host publication2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Pages239-243
Number of pages5
DOIs
StatePublished - 2009
Externally publishedYes
Event2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009 - Changsha, Hunan, China
Duration: 10 Oct 200911 Oct 2009

Publication series

Name2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Volume4

Conference

Conference2009 2nd International Conference on Intelligent Computing Technology and Automation, ICICTA 2009
Country/TerritoryChina
CityChangsha, Hunan
Period10/10/0911/10/09

Keywords

  • Data mining
  • Opinion mining
  • Product ranking
  • Semantic analysis

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