AmirAbaskohi/SemEval2022-Task6-Sarcasm-Detection

Sarcasm is a term that refers to the use of words to mock, irritate, or amuse someone. It is commonly used on social media. The metaphorical and creative nature of sarcasm presents a significant difficulty for sentiment analysis systems based on affective computing. The technique and results of our team, UTNLP, in the SemEval-2022 shared task 6 on sarcasm detection are presented in this paper.

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This project helps sentiment analysis systems understand sarcastic text on social media, which is typically very difficult. It takes social media text as input and identifies whether the language used is sarcastic, providing an improved understanding of nuanced sentiment. This would be useful for social media analysts, brand managers, or anyone needing accurate sentiment detection from user-generated content.

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Use this if you need to accurately identify sarcasm in social media posts to improve sentiment analysis or content moderation.

Not ideal if you're looking for a simple, out-of-the-box solution for non-social media text or if your primary focus isn't sentiment analysis.

social-media-analysis sentiment-detection natural-language-understanding brand-reputation customer-feedback
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Language

Python

License

MIT

Last pushed

May 24, 2023

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