SentiFul: Generating a reliable lexicon for sentiment analysis

Alena Neviarouskaya, Helmut Prendinger, Mitsuru Ishizuka

研究成果: Conference contribution

36 引用 (Scopus)

抜粋

The main drawback of any lexicon-based sentiment analysis system is the lack of scalability. Thus, in this paper, we will describe methods to automatically generate and score a new sentiment lexicon, called SentiFul, and expand it through direct synonymy relations and morphologic modifications with known lexical units. We propose to distinguish four types of affixes (used to derive new words) depending on the role they play with regard to sentiment features: propagating, reversing, intensifying, and weakening.

元の言語English
ホスト出版物のタイトルProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
DOI
出版物ステータスPublished - 2009
外部発表Yes
イベント2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam
継続期間: 2009 9 102009 9 12

Other

Other2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
Amsterdam
期間09/9/1009/9/12

ASJC Scopus subject areas

  • Artificial Intelligence
  • Computer Vision and Pattern Recognition
  • Human-Computer Interaction
  • Software

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  • これを引用

    Neviarouskaya, A., Prendinger, H., & Ishizuka, M. (2009). SentiFul: Generating a reliable lexicon for sentiment analysis. : Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 [5349575] https://doi.org/10.1109/ACII.2009.5349575