Meme Classification

3 papers with code • 1 benchmarks • 1 datasets

Meme classification refers to the task of classifying internet memes.

Greatest papers with code

Multimodal Meme Dataset (MultiOFF) for Identifying Offensive Content in Image and Text

bharathichezhiyan/Multimodal-Meme-Classification-Identifying-Offensive-Content-in-Image-and-Text LREC 2020

Since there was no publicly available dataset for multimodal offensive meme content detection, we leveraged the memes related to the 2016 U. S. presidential election and created the MultiOFF multimodal meme dataset for offensive content detection dataset.

Abuse Detection Meme Classification

IIITK@DravidianLangTech-EACL2021: Offensive Language Identification and Meme Classification in Tamil, Malayalam and Kannada

nikhil6041/OLI-and-Meme-Classification 17 Apr 2021

This paper describes the IIITK team’s submissions to the offensive language identification, and troll memes classification shared tasks for Dravidian languages at DravidianLangTech 2021 workshop@EACL 2021.

Classification Language Identification +1