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Certificate of Completion

THIS ACKNOWLEDGES THAT
HAS COMPLETED THE MAY-SUMMER 2024 DEEP LEARNING BOOT CAMP
Eunbin Kim

Roman Holowinsky, PhD
September 06, 2024
DIRECTOR
DATE
TEAM
Sarcasm Detection in Memes
Yiyang Liu,Eunbin Kim

Sarcasm detection has been an interesting and difficult task in NLP. Sarcasm in memes is special in that the it's usually demonstrated by the contrast between the captions and the image. For our project, we use a dataset of 7000 memes labeled as "sarcastic" or "not sarcastic". We took inspirations from OPEN AI's CLIP model and implemented a multi-modal binary classifier for sarcasm detection. Our model achieved a 74% accuracy with a 0.80 AUC-ROC score.



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