A method of extracting opinion from Chinese product review

  • Rui Liu*
  • , Yi An
  • , Lang Song
  • *Corresponding author for this work

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

Abstract

Automatic opinion mining and summarization from online reviews are very useful for customers and merchants. This paper proposes a method to extract opinions from Chinese product reviews. Firstly, reviews are pre-processed and the sentiment features are extracted based on a sentiment lexicon. Then, it finds out the matching target attribute using the extracted sentiment features base on the using co-occurrence knowledge of topic feature and sentiment feature. After the opinions were found, it generates the summary for products according to the most common opinions.

Original languageEnglish
Title of host publicationAdvanced Research on Information Science, Automation and Material System
Pages1513-1517
Number of pages5
DOIs
StatePublished - 2011
Event2011 International Conference on Information Science, Automation and Material System, ISAM2011 - Zhengzhou, China
Duration: 21 May 201122 May 2011

Publication series

NameAdvanced Materials Research
Volume219-220
ISSN (Print)1022-6680

Conference

Conference2011 International Conference on Information Science, Automation and Material System, ISAM2011
Country/TerritoryChina
CityZhengzhou
Period21/05/1122/05/11

Keywords

  • Automatic Summarization
  • Opinion Extraction
  • Opinion Mining
  • Opinion Summarization
  • Sentiment Tendency

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