AN EMOTIONS MINING APPROACH TO SUPPORT ARTIFICIAL INTELLIGENCE SYSTEMS
AN EMOTIONS MINING APPROACH TO SUPPORT ARTIFICIAL INTELLIGENCE SYSTEMS

Author(s): Radka Valerieva Nacheva
Subject(s): Economy, Business Economy / Management, ICT Information and Communications Technologies
Published by: Икономически университет - Варна
Keywords: artificial intelligence; emotions analysis; human-centred computing; e-learning
Summary/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 humancentric 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.

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