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# Sentiment Analysis for Tourism in Marrakech: Kenza Charfaoui and Stéphane Mussard
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## Model
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* Fine tuned model from SieBERT checkpoint (RoBERTa large) [SieBERT](https://huggingface.co/siebert/sentiment-roberta-large-english)
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* Binary Classification
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* Dataset: 7,958 positive sentiments (label 1) and 1,437 negative sentiments (label 0)
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* Train / Test : 80/20
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* LEARNING_RATE = 1e-05
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* 3 Epochs
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* Preclassifier 1024*1024 with dropout 0.1
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* Test data: F-measure label 0: 0.9736
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* Test data: F-measure label 1: 0.8547
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