xndien2004/Multimodal-Sarcasm-Detection-for-UITC2024
The Multimodal Sarcasm Detection System detects sarcasm in multimedia content using image-caption generation and NLP. It achieved 1st place in UITC2024 by classifying sarcasm into four categories: image, text, multi sarcasm, and not sarcasm.
This system helps analyze social media posts, news articles, or other multimedia content to identify sarcastic expressions. It takes an image and its accompanying text, then outputs a classification indicating whether the content is sarcastic and, if so, whether the sarcasm is primarily in the image, text, or both. Content analysts, brand managers, or social listening specialists can use this to better understand sentiment and tone in online discussions.
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Use this if you need to automatically detect sarcasm in posts that combine images and text, categorizing the type of sarcasm present.
Not ideal if you only need to analyze plain text for sarcasm without any accompanying visual content.
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Mar 21, 2025
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