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Memotion 3: Dataset on Sentiment and Emotion Analysis of Codemixed Hindi-English Memes

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arxiv 2303.09892 v3 pith:LWOBMR2N submitted 2023-03-17 cs.CL

Shreyash Mishra , S Suryavardan , Parth Patwa , Megha Chakraborty , Anku Rani , Aishwarya Reganti , Aman Chadha , Amitava Das
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Amit Sheth Manoj Chinnakotla Asif Ekbal Srijan Kumar
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classification cs.CL
keywords memesmemotiondatasetbaselinecodemixedhindi-englishpriortask
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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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    cs.CL 2024-12 conditional novelty 3.0 of 10

    LoRA fine-tuning of Nemo-Instruct achieves the best F1 among four LLMs on Devanagari hate speech detection (90.05%) and target identification (71.47%), but without baseline comparisons the approach's efficacy is unproven.

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