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Computer Science > Computation and Language

arXiv:2309.06517 (cs)
[Submitted on 12 Sep 2023]

Title:Overview of Memotion 3: Sentiment and Emotion Analysis of Codemixed Hinglish Memes

Authors:Shreyash Mishra, S Suryavardan, Megha Chakraborty, Parth Patwa, Anku Rani, Aman Chadha, Aishwarya Reganti, Amitava Das, Amit Sheth, Manoj Chinnakotla, Asif Ekbal, Srijan Kumar
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Abstract:Analyzing memes on the internet has emerged as a crucial endeavor due to the impact this multi-modal form of content wields in shaping online discourse. Memes have become a powerful tool for expressing emotions and sentiments, possibly even spreading hate and misinformation, through humor and sarcasm. In this paper, we present the overview of the Memotion 3 shared task, as part of the DeFactify 2 workshop at AAAI-23. The task released an annotated dataset of Hindi-English code-mixed memes based on their Sentiment (Task A), Emotion (Task B), and Emotion intensity (Task C). Each of these is defined as an individual task and the participants are ranked separately for each task. Over 50 teams registered for the shared task and 5 made final submissions to the test set of the Memotion 3 dataset. CLIP, BERT modifications, ViT etc. were the most popular models among the participants along with approaches such as Student-Teacher model, Fusion, and Ensembling. The best final F1 score for Task A is 34.41, Task B is 79.77 and Task C is 59.82.
Comments: Defactify2 @AAAI 2023
Subjects: Computation and Language (cs.CL)
Cite as: arXiv:2309.06517 [cs.CL]
  (or arXiv:2309.06517v1 [cs.CL] for this version)
  https://doi.org/10.48550/arXiv.2309.06517

Submission history

From: Parth Patwa [view email]
[v1] Tue, 12 Sep 2023 18:47:29 UTC (2,445 KB)
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