Meme vs. Non-meme Classification using Visuo-linguistic Association

Chhavi Sharma, Viswanath Pulabaigari, Amitava Das

2020

Abstract

Building on the foundation of consolidating humor with social relevance, internet memes have become an imperative communication tool of the modern era. Memes percolate through the dynamic ecosystem of the social network, influencing and changing the social order along the way. As a result, the status quo of the social balance changes significantly, and at times channelized in unwanted directions. Besides flagging harmful memes, detecting them amongst the disparate multi-modal online content is of crucial importance, which has remained understudied. As an effort to characterize internet memes, we attempt to classify meme vs non- meme, by leveraging techniques like Siamese network and canonical correlation analysis (CCA), towards capturing the feature association between the visual and textual components of a meme. The experiments are observed to yield impressive performance, and could further provide insights for applications like meme content moderation over social media.

Paper Citation

in Harvard Style

Sharma C., Pulabaigari V. and Das A. (2020). Meme vs. Non-meme Classification using Visuo-linguistic Association.In Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST, ISBN 978-989-758-478-7, pages 353-360. DOI: 10.5220/0010176303530360

in Bibtex Style

@conference{webist20,
author={Chhavi Sharma and Viswanath Pulabaigari and Amitava Das},
title={Meme vs. Non-meme Classification using Visuo-linguistic Association},
booktitle={Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,},
year={2020},
pages={353-360},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0010176303530360},
isbn={978-989-758-478-7},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 16th International Conference on Web Information Systems and Technologies - Volume 1: WEBIST,
TI - Meme vs. Non-meme Classification using Visuo-linguistic Association
SN - 978-989-758-478-7
AU - Sharma C.
AU - Pulabaigari V.
AU - Das A.
PY - 2020
SP - 353
EP - 360
DO - 10.5220/0010176303530360