Emotional quotient analysis of tweets using deep learning techniques

Sreekumar Nedumpally Raman, Narendran Sobanapuram Muruganandam, Kedar Mangalath, Rukma Mohandas · A.A. Balkema eBooks · 2025

Emotional Quotient, or EQ, is a critical component for personal and professional success. Accurately measuring EQ, meanwhile, could be challenging. Traditional procedures, such as behavioral observation and self-report surveys, are usually time-consuming and subjective. Deep learning approaches combines EQ-related components by comprehending complex speech patterns. This paper presents a novel system for tweet emotion analysis that incorporates text processing, lexicon-based techniques, and deep learning models, as well as a range of metrics to evaluate how well the method detects and measures emotions. The research widens the field of online emotion interpretation through the application of AI and NLP methodologies, with implications for public health treatments, social and political studies, and the development of more sympathetic human-computer connections.

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