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Lexicon-based sentiment analysis in texts using Formal Concept Analysis.
- Source :
-
International Journal of Approximate Reasoning . Apr2023, Vol. 155, p104-112. 9p. - Publication Year :
- 2023
-
Abstract
- In this paper, we present a novel approach for sentiment analysis that uses Formal Concept Analysis (FCA) to create dictionaries for classification. Unlike other methods that rely on pre-defined lexicons, our approach allows for the creation of customised dictionaries that are tailored to the specific data and tasks. By using a dataset of tweets categorised into positive and negative polarity, we show that our approach achieves a better performance than other standard dictionaries. [ABSTRACT FROM AUTHOR]
- Subjects :
- *SENTIMENT analysis
*USER-generated content
*TEXT mining
*LEXICON
Subjects
Details
- Language :
- English
- ISSN :
- 0888613X
- Volume :
- 155
- Database :
- Academic Search Index
- Journal :
- International Journal of Approximate Reasoning
- Publication Type :
- Periodical
- Accession number :
- 162009749
- Full Text :
- https://doi.org/10.1016/j.ijar.2023.02.001