Collecting Evaluative Expressions for Opinion Extraction
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概要
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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 "<I>the seats are comfortable</I>" 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.
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