Computational Meme Understanding: A Survey
Khoi P. N. Nguyen, Vincent Ng
Abstract
Computational Meme Understanding, which concerns the automated comprehension of memes, has garnered interest over the last four years and is facing both substantial opportunities and challenges. We survey this emerging area of research by first introducing a comprehensive taxonomy for memes along three dimensions -forms, functions, and topics. Next, we present three key tasks in Computational Meme Understanding, namely, classification, interpretation, and explanation, and conduct a comprehensive review of existing datasets and models, discussing their limitations. Finally, we highlight the key challenges and recommend avenues for future work.
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Install the CLIlune papers fulltext f6b9b3b2-bc10-42f5-aba0-458e386144e1Cited by top-tier papers5
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