Recognition of affect, judgment, and appreciation in text

Alena Neviarouskaya*, Helmut Prendinger, Mitsuru Ishizuka

*この研究の対応する著者

研究成果: Conference contribution

61 被引用数 (Scopus)

抄録

The main task we address in our research is classification of text using fine-grained attitude labels. The developed@AM system relies on the compositionality principle and a novel approach based on the rules elaborated for semantically distinct verb classes. The evaluation of our method on 1000 sentences, that describe personal experiences, showed promising results: average accuracy on the fine grained level (14 labels) was 62%, on the middle level (7 labels) - 71%, and on the top level (3 labels) - 88%.

本文言語English
ホスト出版物のタイトルColing 2010 - 23rd International Conference on Computational Linguistics, Proceedings of the Conference
ページ806-814
ページ数9
2
出版ステータスPublished - 2010
外部発表はい
イベント23rd International Conference on Computational Linguistics, Coling 2010 - Beijing
継続期間: 2010 8 232010 8 27

Other

Other23rd International Conference on Computational Linguistics, Coling 2010
CityBeijing
Period10/8/2310/8/27

ASJC Scopus subject areas

  • 言語および言語学
  • 計算理論と計算数学
  • 言語学および言語

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