M2SA: Multimodal and Multilingual Model for Sentiment Analysis of Tweets

arXiv:2404.01753v1 Announce Type: new
Abstract: In recent years, multimodal natural language processing, aimed at learning from diverse data types, has garnered significant attention. However, there needs to be more clarity when it comes to analysing multimodal tasks in multi-lingual contexts. While prior studies on sentiment analysis of tweets have predominantly focused on the English language, this paper addresses this gap by transforming an existing textual Twitter sentiment dataset into a multimodal format through a straightforward curation process. Our work opens …

abstract analysis arxiv attention cs.cl data diverse however language language processing multilingual multimodal natural natural language natural language processing prior processing sentiment sentiment analysis studies tasks tweets type types