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EMOGAN LABEL-CHANGING APPROACH FOR EMOTIONAL STATE ANALYSIS IN MOBILE COMMUNICATION USING MONKEY ALGORITHM

Abstract In mobile communication, understanding and analyzing emotional states plays a pivotal role in enhancing user experience and communication dynamics. Existing emotional state analysis methods often face challenges in accurately capturing dynamic changes in users' emotions during mobile communication. The lack of adaptability and real-time responsiveness hinders the effectiveness of these methods, highlighting the need for a novel approach. Despite the advancements in emotion analysis techniques, there is a gap in addressing real-time label-changing requirements in mobile communication. Existing methods lack the flexibility to adjust emotional labels dynamically, limiting their applicability in capturing the nuances of evolving emotional states. This research addresses the need for an efficient emotional state analysis approach by introducing the EmoGAN Label-Changing Methodology, utilizing the innovative Monkey Algorithm. The EmoGAN Label-Changing Approach integrates Generative Adversarial Networks (GANs) with the Monkey Algorithm to enable real-time label adjustments based on evolving emotional cues. This hybrid methodology leverages GANs for generating diverse emotional labels and employs the Monkey Algorithm for adaptive learning and quick adjustments, ensuring the model's responsiveness to changing emotional states. The experimental results demonstrate the superior performance of the EmoGAN Label-Changing Approach compared to traditional emotion analysis methods. The model successfully adapts to real-time emotional fluctuations, providing more accurate and timely insights into users' emotional states during mobile communication. Authors P. Ramesh Babu1, R. Nandhi Kesavan2, A. Sivaramakrishnan3, G. Sai Chaitanya Kumar4 Wollega University, Ethiopia1, CMR University, India2, Koneru Lakshmaiah Education Foundation, India3, DVR and Dr. HS MIC College of Technology, India4 Keywords EmoGAN, Emotional State Analysis, Mobile Communication, Monkey Algorithm, Real-time Label Changing Yearly Full Views January February March April May June July August September October November December 4 0 3 0 0 1 0 3 0 0 0 0

Published By : ICTACT Published In : ICTACT Journal on Communication Technology ( Volume: 14 , Issue: 4 , Pages: 3050 - 3056 ) Date of Publication : December 2023 DOI : 10.21917/ijct.2023.0454 Page Views : 194 Full Text Views : 12