CoderChen01/InterCLIP-MEP

Official repository of the paper "InterCLIP-MEP: Interactive CLIP and Memory-Enhanced Predictor for Multi-modal Sarcasm Detection"

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This project helps social media analysts and content strategists automatically identify sarcasm in posts that combine text and images. It takes social media content, including both the written text and any accompanying pictures, and determines if the message is sarcastic or not. This is particularly useful for those who need to understand true sentiment and intent behind online conversations.

Use this if you need a highly accurate and robust tool to detect sarcasm in social media posts that include both text and images, especially when dealing with varied or new types of content.

Not ideal if your primary goal is to analyze text-only content or if you require an off-the-shelf, low-code solution without any setup or programming.

social-media-analysis sentiment-detection content-moderation brand-reputation audience-insight
No Package No Dependents
Maintenance 6 / 25
Adoption 6 / 25
Maturity 16 / 25
Community 0 / 25

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Language

Python

License

MIT

Last pushed

Nov 13, 2025

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