Text Mining for Fuzzy-based Emotion Expressions
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Abstract
A model of emotion representation in the form of facial expressions using text mining technique, followed by fuzzy-based mechanisms using Fuzzy Inference System (FIS) is proposed. The model classifies the emotional content of sentences from text input and expresses corresponding emotions by a facial expression. Text input is classified using Naive Bayes text classifier, while facial expression of a virtual character is controlled by Mamdani fuzzy inference system utilizing results from the text classifier. This model is able to show the facial expression with admixture blending emotions. As a demonstration, examples of facial expressions with corresponding text inputs as results from the implementation of our model are shown.
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Sumpeno, S. ., Hariadi, M. ., & Purnomo, M. H. . (2025). Text Mining for Fuzzy-based Emotion Expressions. IPTEK The Journal for Technology and Science, 21(1), 46–54. Retrieved from https://journal.its.ac.id/index.php/jts/article/view/5869
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