Text Mining for Fuzzy-Based Emotion Expressions  

Oleh:

Sumpeno, Surya ; Hariadi, Mochamad ; Hery, Mauridhi

Jenis: Article from Journal - ilmiah nasional - terakreditasi DIKTI
Dalam koleksi: IPTEK: The Journal for Technology and Science vol. 21 no. 1 (Feb. 2010), page 46-54.
Topik: Text Mining; Emotion Detection in Text; Na¨ive Bayes Method; Fuzzy Inference System; Facial Expression; Virtual Character
Fulltext: Text Mining.pdf (3.95MB)

Ketersediaan

Perpustakaan Pusat (Semanggi) Nomor Panggil: MM48 Non-tandon: 1 (dapat dipinjam: 0) Tandon: tidak ada

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Isi artikel

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 Na¨ive Bayes text classifier, while facial expression of a virtual character are controlled by Mamdani fuzzy inference system utilizing results from 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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