SentiFul: Generating a reliable lexicon for sentiment analysis

Alena Neviarouskaya, Helmut Prendinger, Mitsuru Ishizuka

Research output: Chapter in Book/Report/Conference proceedingConference contribution

36 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publicationProceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
DOIs
Publication statusPublished - 2009
Externally publishedYes
Event2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam
Duration: 2009 Sep 102009 Sep 12

Other

Other2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
CityAmsterdam
Period09/9/1009/9/12

ASJC Scopus subject areas

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

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  • Cite this

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