Dependency tree-based sentiment classification using CRFs with hidden variables

Tetsuji Nakagawa, Kentaro Inui, Sadao Kurohashi

研究成果: Conference contribution

230 被引用数 (Scopus)

抄録

In this paper, we present a dependency treebased method for sentiment classification of Japanese and English subjective sentences using conditional random fields with hidden variables. Subjective sentences often contain words which reverse the sentiment polarities of other words. Therefore, interactions between words need to be considered in sentiment classification, which is difficult to be handled with simple bag-of-words approaches, and the syntactic dependency structures of subjective sentences are exploited in our method. In the method, the sentiment polarity of each dependency subtree in a sentence, which is not observable in training data, is represented by a hidden variable. The polarity of the whole sentence is calculated in consideration of interactions between the hidden variables. Sum-product belief propagation is used for inference. Experimental results of sentiment classification for Japanese and English subjective sentences showed that the method performs better than other methods based on bag-of-features.

本文言語English
ホスト出版物のタイトルNAACL HLT 2010 - Human Language Technologies
ホスト出版物のサブタイトルThe 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference
ページ786-794
ページ数9
出版ステータスPublished - 2010 12 1
イベント2010 Human Language Technologies Conference ofthe North American Chapter of the Association for Computational Linguistics, NAACL HLT 2010 - Los Angeles, CA, United States
継続期間: 2010 6 22010 6 4

出版物シリーズ

名前NAACL HLT 2010 - Human Language Technologies: The 2010 Annual Conference of the North American Chapter of the Association for Computational Linguistics, Proceedings of the Main Conference

Other

Other2010 Human Language Technologies Conference ofthe North American Chapter of the Association for Computational Linguistics, NAACL HLT 2010
CountryUnited States
CityLos Angeles, CA
Period10/6/210/6/4

ASJC Scopus subject areas

  • Language and Linguistics
  • Linguistics and Language

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