Explainable Multimodal Sentiment Analysis on Bengali Memes. (arXiv:2401.09446v1 [cs.CV])
![Explainable Multimodal Sentiment Analysis on Bengali Memes. (arXiv:2401.09446v1 [cs.CV])](https://cdn.hashnode.com/res/hashnode/image/upload/v1704026789016/QS9k8VMZb.jpg)
Memes have become a distinctive and effective form of communication in the digital era, attracting online communities and cutting across cultural barriers. Even though memes are frequently linked with humor, they have an amazing capacity to convey a wide range of emotions, including happiness, sarcasm, frustration, and more. Understanding and interpreting the sentiment underlying memes has become crucial in the age of information. Previous research has explored text-based, image-based, and multimodal approaches, leading to the development of models like CAPSAN and PromptHate for detecting various meme categories. However, the study of low-resource languages like Bengali memes remains scarce, with limited
