Artificial Intelligence based Emotional Intelligence for data Analytics


  • Indra Kesuma, Zainuddin, Sofiyan, Salman Faris


Artificial Intelligence (AI), Emotional Intelligence (EI), Data Analytics; Decision-Making Processes,


In recent years, the integration of Artificial Intelligence (AI) and Emotional Intelligence (EI) has emerged as a promising avenue for enhancing data analytics. Emotional Intelligence, a vital human trait involving the recognition, understanding, and regulation of emotions, offers a unique dimension to AI-driven analytics by infusing machines with empathetic capabilities. This paper explores the convergence of AI and EI in the context of data analytics, elucidating how incorporating emotional understanding into AI systems can revolutionize data interpretation and decision-making processes. The primary focus of this paper is to delineate the potential benefits and challenges associated with leveraging emotional intelligence in data analytics through AI algorithms. By harnessing EI, AI systems can better comprehend human emotions expressed in textual data, social media interactions, and other unstructured sources, thereby providing deeper insights into consumer sentiment, market trends, and user behavior. Furthermore, AI-driven emotional intelligence can enhance personalized recommendations, improve customer service interactions, and facilitate more empathetic human-machine interactions.


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How to Cite

Zainuddin, Sofiyan, Salman Faris, I. K. . (2024). Artificial Intelligence based Emotional Intelligence for data Analytics. International Journal of Intelligent Systems and Applications in Engineering, 12(21s), 1570–1574. Retrieved from



Research Article