MATK: The Meme Analytical Tool Kit
Ming Shan Hee Aditi Kumaresan Nguyen Khoi Hoang Nirmalendu Prakash Rui Cao Roy Ka-Wei Lee
The rise of social media platforms has brought about a new digital culture
called memes. Memes, which combine visuals and text, can strongly influence
public opinions on social and cultural issues. As a result, people have become
interested in categorizing memes, leading to the development of various
datasets and multimodal models that show promising results in this field.
However, there is currently a lack of a single library that allows for the
reproduction, evaluation, and comparison of these models using fair benchmarks
and settings. To fill this gap, we introduce the Meme Analytical Tool Kit
(MATK), an open-source toolkit specifically designed to support existing memes
datasets and cutting-edge multimodal models. MATK aims to assist researchers
and engineers in training and reproducing these multimodal models for meme
classification tasks, while also providing analysis techniques to gain insights
into their strengths and weaknesses. To access MATK, please visit
\url{https://github.com/Social-AI-Studio/MATK}.