Collecting evaluative expressions for opinion extraction
N Kobayashi, K Inui, Y Matsumoto, K Tateishi… - … –IJCNLP 2004: First …, 2005 - Springer
N Kobayashi, K Inui, Y Matsumoto, K Tateishi, T Fukushima
Natural Language Processing–IJCNLP 2004: First International Joint Conference …, 2005•SpringerAutomatic 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 …
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 …
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.
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