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An Emotions Mining Approach To Support Artificial Intelligence Systems

Author

Listed:
  • Radka Nacheva

    (University of Economics - Varna / Department of Informatics, Varna, Bulgaria)

Abstract

Increasing numbers of individuals become aware of how important emotions are to human communication and decision-making, and how important they are to developing more human-centric and sensitive artificial intelligence (AI). Adaptive behaviour in human-AI interaction is facilitated by different research methods, which also enhances AI's comprehension of user mood and intents. To improve the functioning of AI systems, this research aims to provide a domain-agnostic emotions mining approach to develop an ontology that will be useful for these systems. This method extracts, categorizes, and analyses emotional cues from unstructured data, including text and social media, by applying basic natural language processing (NLP), sentiment analysis, and machine learning algorithms.

Suggested Citation

  • Radka Nacheva, 2024. "An Emotions Mining Approach To Support Artificial Intelligence Systems," Conferences of the department Informatics, Publishing house Science and Economics Varna, issue 1, pages 92-104.
    • Handle: RePEc:vrn:katinf:y:2024:i:1:p:92-104
    as

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    File URL: https://informatics.ue-varna.bg/ICTBE2024/ICTBE2024_92-104.pdf
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    References listed on IDEAS

    as
    1. Marian Pompiliu Cristescu & Dumitru Alexandru Mara & Lia-Cornelia Culda & Raluca Andreea Nerișanu, 2023. "Applying Bert and Vader in HR Sentiment Analysis," HR and Technologies, Creative Space Association, issue 2, pages 6-23.
    2. Xiaowei Chen & Zainuddin Ibrahim, 2023. "A Comprehensive Study of Emotional Responses in AI-Enhanced Interactive Installation Art," Sustainability, MDPI, vol. 15(22), pages 1-22, November.
    3. Chuah, Stephanie Hui-Wen & Yu, Joanne, 2021. "The future of service: The power of emotion in human-robot interaction," Journal of Retailing and Consumer Services, Elsevier, vol. 61(C).
    Full references (including those not matched with items on IDEAS)

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    More about this item

    Keywords

    artificial intelligence; emotions analysis; human-centred computing; e-learning;
    All these keywords.

    JEL classification:

    • C8 - Mathematical and Quantitative Methods - - Data Collection and Data Estimation Methodology; Computer Programs

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