rematchka/Irony-and-Sarcasm-detection-in-Arabic-tweets
This repo represents model developed for Irony and sentiment detection in Arabic tweets in WANLP shared tasks on sarcasm and sentiment detection in Arabic tweets
This helps you automatically detect irony, sarcasm, and sentiment in Arabic tweets. It takes raw Arabic tweet text, including emojis, and tells you if the tweet expresses irony, sarcasm, or positive/negative sentiment. This is useful for social media analysts, market researchers, or anyone monitoring public opinion in the Arabic-speaking world.
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Use this if you need to quickly understand the true underlying sentiment and meaning behind large volumes of Arabic tweets, especially to identify subtle ironic or sarcastic expressions.
Not ideal if your primary need is for sentiment analysis in languages other than Arabic, or if you require an exceptionally high level of nuance for very complex, context-dependent sarcasm.
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Jupyter Notebook
License
MIT
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Last pushed
Jul 14, 2022
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