EMOSENTAI: Multimodal Integration and Cross-Cultural Sensitivity in Understanding Sentiments Across Tamil-English Tweets

This paper presents “EmoSentAI,” a pioneering study that integrates multimodal integration and cross-cultural sensitivity into sentiment analysis of Tamil-English tweets. Building upon existing research, our study goes beyond traditional sentiment analysis by incorporating both textual content and emoji semantics, leveraging deep learning techniques for enhanced accuracy. Moreover, we delve into the intricate interplay between language nuances and cultural sensitivities specific to Tamil communication, shedding light on how these factors influence sentiment expression. Through innovative fusion strategies, our approach seeks to deliver a comprehensive insight into sentiments expressed in multilingual social media environments. By bridging the gap between linguistic diversity and cultural sensitivity, “EmoSentAI” contributes to advancing sentiment analysis methodologies and promoting inclusivity in digital discourse.