Evfidiw/MoBA

[ACMMM'24] MoBA: Mixture of Bi-directional Adapter for Multi-modal Sarcasm Detection

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Experimental

This helps identify sarcasm in online content by analyzing both text and images together. It takes social media posts, comments, or other digital content containing both written words and accompanying visuals, and determines if the message is sarcastic. Social media analysts, content moderators, or sentiment analysis professionals would use this to better understand the nuances of online communication.

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Use this if you need to accurately detect sarcasm in multimodal content, where text alone might be misleading without the visual context.

Not ideal if your content is purely text-based or you only need to analyze images, as it's designed for situations where both modalities contribute to understanding sarcasm.

sarcasm-detection social-media-analysis content-moderation sentiment-analysis online-communication
No License Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 5 / 25
Maturity 8 / 25
Community 11 / 25

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Language

Python

License

Last pushed

Jul 31, 2024

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