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What is Sentiment Analysis of Bengali Memes about?

The paper presents a deep-learning framework for sentiment classification of multimodal memes in Bengali, addressing the challenges posed by their ironic and often abusive nature. A new corpus of 1671 Bengali memes was developed, and various deep learning models were tested, with the BiLSTM + VGG19 model achieving the highest f1-score of 0.68. The research highlights the importance of detecting harmful memes to mitigate their negative impact on users.

Author

tanvirsadat9

Language

EN