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: | , |
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| Format: | Article |
| Language: | English |
| Published: |
Yanbu Industrial College
2021-11-01
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| Series: | Yanbu Journal of Engineering and Science |
| Online Access: | https://doi.org/10.53370/001c.29748 |
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| Summary: | 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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| ISSN: | 1658-5321 |