Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes
Shreyash Mishra, S Suryavardan, Parth Patwa, Megha Chakraborty, Anku, Rani, Aishwarya Reganti, Aman Chadha, Amitava Das, Amit Sheth, Manoj, Chinnakotla, Asif Ekbal, Srijan Kumar

TL;DR
Memotion 3 introduces a new dataset of 10,000 Hindi-English codemixed memes for sentiment and emotion analysis, addressing the gap in multilingual meme datasets and providing a baseline for future research.
Contribution
The paper presents Memotion 3, a novel dataset with Hindi-English memes, expanding multilingual meme analysis beyond English-only datasets.
Findings
Dataset includes 10,000 annotated memes.
Baseline models established for sentiment and emotion tasks.
Dataset and code will be publicly available.
Abstract
Memes are the new-age conveyance mechanism for humor on social media sites. Memes often include an image and some text. Memes can be used to promote disinformation or hatred, thus it is crucial to investigate in details. We introduce Memotion 3, a new dataset with 10,000 annotated memes. Unlike other prevalent datasets in the domain, including prior iterations of Memotion, Memotion 3 introduces Hindi-English Codemixed memes while prior works in the area were limited to only the English memes. We describe the Memotion task, the data collection and the dataset creation methodologies. We also provide a baseline for the task. The baseline code and dataset will be made available at https://github.com/Shreyashm16/Memotion-3.0
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Taxonomy
TopicsHumor Studies and Applications · Misinformation and Its Impacts · Hate Speech and Cyberbullying Detection
