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  Multilingual Sarcasm Detector is a text classification model built to detect sarcasm from news article titles. It is fine-tuned on bert-multilingual uncased and the training data consists of ready-made datasets available on Kaggle as well scraped data from multiple newspapers in English, Dutch and Italian.
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  ## Training Data
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  Datasets:
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  Codebase:
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  - Git Repo: [Official repository](https://github.com/helinivan/multilingual-sarcasm-detector)
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  ---
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  ## Example of classification
 
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  Multilingual Sarcasm Detector is a text classification model built to detect sarcasm from news article titles. It is fine-tuned on bert-multilingual uncased and the training data consists of ready-made datasets available on Kaggle as well scraped data from multiple newspapers in English, Dutch and Italian.
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+ <b>Labels</b>:
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+ 0 -> Not Sarcastic;
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+ 1 -> Sarcastic
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  ## Training Data
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  Datasets:
 
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  Codebase:
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  - Git Repo: [Official repository](https://github.com/helinivan/multilingual-sarcasm-detector)
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  ---
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  ## Example of classification