Tamil is a Dravidian language that is commonly used and spoken in the southern part of Asia. In the era of social media, memes have been a fun moment in the day-to-day life of people. Here, we try to analyze the true meaning of Tamil memes by categorizing them as troll and non-troll. We propose an ingenious model comprising of a transformer-transformer architecture that tries to attain state-of-the-art by using attention as its main component. The dataset consists of troll and non-troll images with their captions as text. The task is a binary classification task. The objective of the model is to pay more attention to the extracted features and to ignore the noise in both images and text.
@article{arxiv.2104.09081,
title = {UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention},
author = {Siddhanth U Hegde and Adeep Hande and Ruba Priyadharshini and Sajeetha Thavareesan and Bharathi Raja Chakravarthi},
journal= {arXiv preprint arXiv:2104.09081},
year = {2021}
}