—A meme is a culturally relevant, and brief
form of media that raise a content over the internet. Now
a days posting a meme is popular communication
medium, due to its multimodal nature. Postings of hateful
memes or fooling, cyberbullying are growing gradually.
Meme takes a major part in forming people’s trust and
perspective. Meme can be quickly post by anybody, and
its integrity stands compromised. Hateful and aggressive
matter detection have been largely traversed in a form
such as text or image. And Memes complicate the task,
because some meme can have a good caption and normal
pictures, but if combined in some way, they can become
offensive. So, it is required to fuse both modality to
identify whether a given meme is hateful or not. So here
for text classification we found the sequential model like
Bi-LSTM and for image we will go with CNN. Late
fusion technique is used to combine the image and text
mode with EX-OR method to investigate its
effectiveness.
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