Extracting aspect-evaluation and aspect-of relations in opinion mining

Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto

Research output: Contribution to conferencePaperpeer-review

121 Citations (Scopus)

Abstract

The technology of opinion extraction allows users to retrieve and analyze people's opinions scattered over Web documents. We define an opinion unit as a quadruple consisting of the opinion holder, the subject being evaluated, the part or the attribute in which the subject is evaluated, and the value of the evaluation that expresses a positive or negative assessment. We use this definition as the basis for our opinion extraction task. We focus on two important subtasks of opinion extraction: (a) extracting aspect-evaluation relations, and (b) extracting aspect-of relations, and we approach each task using methods which combine contextual and statistical clues. Our experiments on Japanese weblog posts show that the use of contextual clues improve the performance for both tasks.

Original languageEnglish
Pages1065-1074
Number of pages10
Publication statusPublished - 2007 Dec 1
Externally publishedYes
Event2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2007 - Prague, Czech Republic
Duration: 2007 Jun 282007 Jun 28

Other

Other2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning, EMNLP-CoNLL 2007
CountryCzech Republic
CityPrague
Period07/6/2807/6/28

ASJC Scopus subject areas

  • Computational Theory and Mathematics
  • Computer Science Applications
  • Information Systems

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