Log In Sign Up

UVCE-IIITT@DravidianLangTech-EACL2021: Tamil Troll Meme Classification: You need to Pay more Attention

by   Siddhanth U Hegde, et al.

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.


Adapting Deep Learning Methods for Mental Health Prediction on Social Media

Mental health poses a significant challenge for an individual's well-bei...

Pay Attention when Required

Transformer-based models consist of interleaved feed-forward blocks - th...

Reproduction Report on "Learn to Pay Attention"

We have successfully implemented the "Learn to Pay Attention" model of a...

Do Images really do the Talking? Analysing the significance of Images in Tamil Troll meme classification

A meme is an part of media created to share an opinion or emotion across...

The Naughtyformer: A Transformer Understands Offensive Humor

Jokes are intentionally written to be funny, but not all jokes are creat...

Modeling Beats and Downbeats with a Time-Frequency Transformer

Transformer is a successful deep neural network (DNN) architecture that ...