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

arXiv 2104.09081 ↗First posted 19 Apr 2021cs.CLcited by 5

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Abstract (arXiv)

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.

Key facts. Cited by 5 papers in the map (data through 7 Oct 2026). Builds on 6 of its 30 references that are in the map. First posted on arXiv 19 Apr 2021.

Builds on

6 of 30 references.

References · 6

  1. 2017Attention Is All You Needcited by 59,932
  2. 2018BERT: Pre-training of Deep Bidirectional Transformers for Language Understandingcited by 40,204
  3. 2019How multilingual is Multilingual BERT?cited by 642
  4. 2020Corpus Creation for Sentiment Analysis in Code-Mixed Tamil-English Textcited by 67
  5. 2020A Sentiment Analysis Dataset for Code-Mixed Malayalam-Englishcited by 50
  6. 2018Multimodal Sentiment Analysis To Explore the Structure of Emotionscited by 19

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Citing papers per year: 2021: 3; 2022: 2.

5 papers.