Extracting subjective and objective evaluative expressions from the Web

Tetsuji Nakagawa, Takuya Kawada, Kentaro Inui, Sadao Kurohashi

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

13 Citations (Scopus)

Abstract

There are various opinions on the Web, and analyzing them is an important task. Although many previous studies focused on analyzing subjective evaluative expressions, objective evaluative expressions which describe positive or negative facts are also informative information. In this paper, we study extraction and classification of subjective and objective evaluative expressions on Japanese Web documents using machine learning and evaluative word dictionaries.

Original languageEnglish
Title of host publicationProceedings of the 2nd International Symposium on Universal Communication, ISUC 2008
Pages251-258
Number of pages8
DOIs
Publication statusPublished - 2008 Dec 1
Externally publishedYes
Event2nd International Symposium on Universal Communication, ISUC 2008 - Osaka, Japan
Duration: 2008 Dec 152008 Dec 16

Publication series

NameProceedings of the 2nd International Symposium on Universal Communication, ISUC 2008

Other

Other2nd International Symposium on Universal Communication, ISUC 2008
Country/TerritoryJapan
CityOsaka
Period08/12/1508/12/16

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Science Applications
  • Information Systems
  • Software

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