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2018 | OriginalPaper | Chapter

Meme Classification Using Textual and Visual Features

Authors : E. S. Smitha, S. Sendhilkumar, G. S. Mahalaksmi

Published in: Computational Vision and Bio Inspired Computing

Publisher: Springer International Publishing

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Abstract

Social networks became a global phenomenon and made an enormous impact in different fields of society in a few years. These days, a huge number of memes have available in social networks. An internet meme is a cultural style that propagates from one to another in social media. It is a unit of information that jumps from place to place with slight modification. These memes play a vital part in expressing emotions of users in social networks and serve as an effective promotional and marketing tool. Visual memes are important because they will show emotion, humor, or portray something that words cannot. This paper recommends a framework that could be utilized to categorize internet memes by certain visual features and textual features.

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previous chapter Face Authentication Using Thermal Imaging
next chapter Image Based Group Happiness Intensity Analysis
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Metadata
Title
Meme Classification Using Textual and Visual Features
Authors
E. S. Smitha
S. Sendhilkumar
G. S. Mahalaksmi
Copyright Year
2018
Book
Computational Vision and Bio Inspired Computing

Print ISBN: 978-3-319-71766-1

Electronic ISBN: 978-3-319-71767-8

Copyright Year: 2018

DOI
https://doi.org/10.1007/978-3-319-71767-8_87