期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2012
卷号：2012
出版社：ACL Anthology
摘要：Polarity classification of words is important
for applications such as Opinion Mining and
Sentiment Analysis. A number of sentiment
word/sense dictionaries have been manually
or (semi)automatically constructed. The dictionaries
have substantial inaccuracies. Besides
obvious instances, where the same word
appears with different polarities in different
dictionaries, the dictionaries exhibit complex
cases, which cannot be detected by mere manual
inspection. We introduce the concept of
polarity consistency of words/senses in sentiment
dictionaries in this paper. We show that
the consistency problem is NP-complete. We
reduce the polarity consistency problem to the
satisfiability problem and utilize a fast SAT
solver to detect inconsistencies in a sentiment
dictionary. We perform experiments on four
sentiment dictionaries and WordNet.
