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Identifying Noun Product Features that Imply Opinions
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@MISC{Zhang_identifyingnoun,
author = {Lei Zhang and Bing Liu},
title = {Identifying Noun Product Features that Imply Opinions},
year = {}
}
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Abstract
Identifying domain-dependent opinion words is a key problem in opinion mining and has been studied by several researchers. However, existing work has been focused on adjectives and to some extent verbs. Limited work has been done on nouns and noun phrases. In our work, we used the feature-based opinion mining model, and we found that in some domains nouns and noun phrases that indicate product features may also imply opinions. In many such cases, these nouns are not subjective but objective. Their involved sentences are also objective sentences and imply positive or negative opinions. Identifying such nouns and noun phrases and their polarities is very challenging but critical for effective opinion mining in these domains. To the best of our knowledge, this problem has not been studied in the literature. This paper proposes a method to deal with the problem. Experimental results based on real-life datasets show promising results. 1
Keyphrases
noun product noun phrase imply opinion several researcher many case limited work key problem real-life datasets objective sentence feature-based opinion mining model extent verb effective opinion mining domain-dependent opinion word product feature negative opinion involved sentence experimental result promising result opinion mining domain noun
