期刊名称：Conference on European Chapter of the Association for Computational Linguistics (EACL)
出版年度：2006
卷号：2006
出版社：ACL Anthology
摘要：We propose models for semantic orientations
of phrases as well as classification
methods based on the models. Although
each phrase consists of multiple words, the
semantic orientation of the phrase is not a
mere sum of the orientations of the component
words. Some words can invert the
orientation. In order to capture the property
of such phrases, we introduce latent
variables into the models. Through experiments,
we show that the proposed latent
variable models work well in the classification
of semantic orientations of phrases
and achieved nearly 82% classification accuracy.
