New journal paper: Lexicon-based sentiment analysis in texts using Formal Concept Analysis

The work Lexicon-based sentiment analysis in texts using Formal Concept Analysis has been published in International Journal of Approximate Reasoning, vol. 155, pp 104-112.

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.

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