Meme Generation Using Deep Neural Network to Engage Viewers on Social Media

In today's technological era, most new generations are using memes because the phenomenon of memes is rapidly gaining in popularity. In addition, various modifications and parodies use social and cultural phenomena to transform an original idea into another. Virus memes are sometimes called vir...

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Main Authors: Gasim Othamn Alandjani, Altaf Hussain Bouk
Format: Article
Language:English
Published: Yanbu Industrial College 2021-11-01
Series:Yanbu Journal of Engineering and Science
Online Access:https://doi.org/10.53370/001c.29748
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author Gasim Othamn Alandjani
Altaf Hussain Bouk
author_facet Gasim Othamn Alandjani
Altaf Hussain Bouk
author_sort Gasim Othamn Alandjani
collection DOAJ
description In today's technological era, most new generations are using memes because the phenomenon of memes is rapidly gaining in popularity. In addition, various modifications and parodies use social and cultural phenomena to transform an original idea into another. Virus memes are sometimes called virus scripts and are the most widespread on the Internet. However, there is little scientific evidence for this assumption. This paper presents an innovative method to generate memes using machine learning algorithms that match the users' humorous and relevant captions. The VGG16 network is used to return the embedded image. We have collected feedback from citizens of more than five countries and received 37 feedbacks to find humorous memes. The obtained results from feedback are very encouraging from the generated memes.
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spelling doaj.art-a72fe28f07a549699356e4228d4884b92023-01-12T20:50:52ZengYanbu Industrial CollegeYanbu Journal of Engineering and Science1658-53212021-11-01181Meme Generation Using Deep Neural Network to Engage Viewers on Social MediaGasim Othamn AlandjaniAltaf Hussain BoukIn today's technological era, most new generations are using memes because the phenomenon of memes is rapidly gaining in popularity. In addition, various modifications and parodies use social and cultural phenomena to transform an original idea into another. Virus memes are sometimes called virus scripts and are the most widespread on the Internet. However, there is little scientific evidence for this assumption. This paper presents an innovative method to generate memes using machine learning algorithms that match the users' humorous and relevant captions. The VGG16 network is used to return the embedded image. We have collected feedback from citizens of more than five countries and received 37 feedbacks to find humorous memes. The obtained results from feedback are very encouraging from the generated memes.https://doi.org/10.53370/001c.29748
spellingShingle Gasim Othamn Alandjani
Altaf Hussain Bouk
Meme Generation Using Deep Neural Network to Engage Viewers on Social Media
Yanbu Journal of Engineering and Science
title Meme Generation Using Deep Neural Network to Engage Viewers on Social Media
title_full Meme Generation Using Deep Neural Network to Engage Viewers on Social Media
title_fullStr Meme Generation Using Deep Neural Network to Engage Viewers on Social Media
title_full_unstemmed Meme Generation Using Deep Neural Network to Engage Viewers on Social Media
title_short Meme Generation Using Deep Neural Network to Engage Viewers on Social Media
title_sort meme generation using deep neural network to engage viewers on social media
url https://doi.org/10.53370/001c.29748
work_keys_str_mv AT gasimothamnalandjani memegenerationusingdeepneuralnetworktoengageviewersonsocialmedia
AT altafhussainbouk memegenerationusingdeepneuralnetworktoengageviewersonsocialmedia