iabufarha/ArSarcasm-v2
ArSarcasm-v2 is an extension to the original ArSarcasm dataset. It was used for the shared task on sarcasm detection and sentiment analysis, which is a part of WANLP 2021.
This dataset helps researchers and data scientists working with Arabic language understand nuances in online communication. It provides a collection of Arabic tweets, each labeled for sarcasm, overall sentiment (positive, negative, neutral), and the specific regional dialect used. Anyone building or evaluating AI models to automatically detect sarcasm or sentiment in Arabic social media would use this.
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Use this if you are developing or testing computational models that need to identify sarcasm, sentiment, or dialect in Arabic social media text.
Not ideal if you need a dataset for general Arabic text analysis beyond social media, or if your focus is on highly formal or domain-specific Arabic content.
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MIT
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Last pushed
Jan 26, 2022
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