Collecting Evaluative Expressions for Opinion Extraction

• KOBAYASHI NOZOMI

  raduate School of Information Science, Nara Institute of Science and Technolog

• INUI KENTARO

  raduate School of Information Science, Nara Institute of Science and Technolog

• MATSUMOTO YUJI

  raduate School of Information Science, Nara Institute of Science and Technolog

• TATEISHI KENJI

  Internet Systems Research Laboratories, NEC Corp.

• FUKUSHIMA TOSHIKAZU

  Internet Systems Research Laboratories, NEC Corp.

Bibliographic Information

Other Title

• 意見抽出のための評価表現の収集

Abstract

Increasing interest is recently observed in the method of extracting human opinions from a large scale of heterogeneous text data such as Web documents.To automate the process of opinion extraction, having a collection of evaluative expressions such as “the seats are comfortable” would be useful.However, it can be prohibitively costly to manually create an exhaustive list of such expressions for many domains, because they tend to be domain-dependent.Motivated by this background, we have been exploring the way 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 values.Experimental results show its efficiency compared to manual collection of those expressions.

Journal

• Journal of Natural Language Processing

  Journal of Natural Language Processing 12 (3), 203-222, 2005

  The Association for Natural Language Processing

Keywords

• opinion extraction
• sentiment analysis
• information extraction

Details

• CRID: 1390001204473875456
• NII Article ID: 130004291853
• DOI: 10.5715/jnlp.12.3_203
• ISSN: 21858314
• ISSN: 13407619
• Web Site: http://www.jstage.jst.go.jp/article/jnlp1994/12/3/12_3_203/_pdf
• Text Lang: ja
• Data Source:
  • JaLC
  • Crossref
  • CiNii Articles
• Abstract License Flag: Disallowed