Collecting evaluative expressions for opinion extraction

Authors:
Nozomi Kobayashi;Kentaro Inui;Yuji Matsumoto;Kenji Tateishi;Toshikazu Fukushima
Affiliations:
Nara Institute of Science and Technology, Nara;Nara Institute of Science and Technology, Nara;Nara Institute of Science and Technology, Nara;Internet Systems Research Laboratories, NEC Corp, Nara;Internet Systems Research Laboratories, NEC Corp, Nara
Venue:
IJCNLP'04 Proceedings of the First international joint conference on Natural Language Processing
Year:
2004

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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.