Collecting evaluative expressions for opinion extraction

Nozomi Kobayashi, Kentaro Inui, Yuji Matsumoto, Kenji Tateishi, Toshikazu Fukushima

Research output: Contribution to journalConference article

61 Citations (Scopus)

Abstract

Automatic extraction of human opinions from Web documents has been receiving increasing interest. To automate the process of opinion extraction, having a collection of evaluative expressions such as "something is confortable" would be useful. However, it can be costly to manually create an exhaustive list of such expressions for many domains, because they tend to be domain-dependent. Motivated by this, we explored ways to accelerate the process of collecting evaluative expressions by applying a text mining technique. This paper proposes a semi-automatic method that uses particular cooccurrence patterns of evaluated subjects, focused attributes and value expressions.

Original languageEnglish
Pages (from-to)596-605
Number of pages10
JournalLecture Notes in Artificial Intelligence (Subseries of Lecture Notes in Computer Science)
Volume3248
Publication statusPublished - 2005 Oct 17
Externally publishedYes
EventFirst International Joint Conference on Natural Language Processing - IJCNLP 2004 - Hainan Island, China
Duration: 2004 Mar 222004 Mar 24

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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