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Automatic Human Emotion Classification in Web Document Using Fuzzy Inference System (FIS): Human Emotion Classification

Author

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  • P Mohamed Shakeel

    (Faculty of Information and Communication Technology, Universiti Teknikal Malaysia Melaka, Malaysia)

  • S Baskar

    (Department of Electronics and Communication Engineering, Karpagam Academy of Higher Education, Coimbatore, India)

Abstract

Textual information mining deals with various information extraction methods that can be evolved from the rapid growth of textual information through human machine interface for analyzing emotions which are taken by a facial expression. The problem of emotions in text is concerned with the fast development of web 2.0 documents that are assigned by users with emotion labels, namely: sadness, surprise, happiness, empathy, anger, warmness, boredom, and amusement. Such emotions can give a new characteristic for document categorization. Textual information mining deals with various information extraction methods that can evolved from the rapid growth of textual information through a human machine interface for analyzing emotions, which are taken by a facial expression. The problem of emotions from text is concerned with the fast development of web 2.0 documents that are assigned by users with emotion labels. Such emotions can give a new characteristic for document categorization.

Suggested Citation

  • P Mohamed Shakeel & S Baskar, 2020. "Automatic Human Emotion Classification in Web Document Using Fuzzy Inference System (FIS): Human Emotion Classification," International Journal of Technology and Human Interaction (IJTHI), IGI Global, vol. 16(1), pages 94-104, January.
    • Handle: RePEc:igg:jthi00:v:16:y:2020:i:1:p:94-104
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    Cited by:

    1. Liqing Zhang & Xiaowen Yu, 2022. "Intelligent retrieval method of mobile learning resources in the intelligent higher education system," International Journal of System Assurance Engineering and Management, Springer;The Society for Reliability, Engineering Quality and Operations Management (SREQOM),India, and Division of Operation and Maintenance, Lulea University of Technology, Sweden, vol. 13(6), pages 3079-3091, December.
    2. Hanlin Fang & Fengrong Zhang & Qianwen Xiao & Ciyun Lin, 2023. "New Policy Research on Education Development and Global Citizenship in a Sustainable Environment," Sustainability, MDPI, vol. 15(6), pages 1-15, March.

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