SentiFul: Generating a reliable lexicon for sentiment analysis

Alena Neviarouskaya; Helmut Prendinger; Mitsuru Ishizuka

doi:10.1109/ACII.2009.5349575

SentiFul: Generating a reliable lexicon for sentiment analysis

Alena Neviarouskaya^*, Helmut Prendinger, Mitsuru Ishizuka

^*Corresponding author for this work

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

49 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 language	English
Title of host publication	Proceedings - 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
DOIs	https://doi.org/10.1109/ACII.2009.5349575
Publication status	Published - 2009
Externally published	Yes
Event	2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 - Amsterdam Duration: 2009 Sept 10 → 2009 Sept 12

Other

Other	2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009
City	Amsterdam
Period	09/9/10 → 09/9/12

ASJC Scopus subject areas

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

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10.1109/ACII.2009.5349575

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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, 2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009, Amsterdam, 09/9/10. https://doi.org/10.1109/ACII.2009.5349575

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note = "2009 3rd International Conference on Affective Computing and Intelligent Interaction and Workshops, ACII 2009 ; Conference date: 10-09-2009 Through 12-09-2009",

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AB - 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.

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Y2 - 10 September 2009 through 12 September 2009

ER -

SentiFul: Generating a reliable lexicon for sentiment analysis

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