Opinion mining as extraction of attribute-value relations

Nozomi Kobayashi, Ryu Iida, Kentaro Inui, Yuji Matsumoto

Research output: Chapter in Book/Report/Conference proceedingConference contribution

9 Citations (Scopus)

Abstract

This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple (Subject, Attribute, Value), we propose a computational method to extract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Attribute-Value pairs from a given text and (b) the process of judging whether an extracted pair expresses an opinion of the author. We apply machine-learning techniques to both subtasks. We also report on the results of our experiments and discuss future directions.

Original languageEnglish
Title of host publicationNew Frontiers in Artificial Intelligence - Joint JSAI 2005 Workshop Post-Proceedings
PublisherSpringer Verlag
Pages470-481
Number of pages12
ISBN (Print)3540354700, 9783540354703
DOIs
Publication statusPublished - 2006
EventJoint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence - Kitakyushu City, Japan
Duration: 2005 Jun 132005 Jun 14

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume4012 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

OtherJoint JSAI 2005 Workshop on New Frontiers in Artificial Intelligence
CountryJapan
CityKitakyushu City
Period05/6/1305/6/14

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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