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This is a roBERTa-base model trained on ~23K reviews (more than 323K words) and finetuned for sentiment analysis of customer reviews. This model is built as part of author's project at the Uz-NLP 2022 Hackathon and it is suitable for Uzbek language.
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<b>Labels</b>:
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LABEL_0 -> Negative;
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LABEL_1 -> Positive
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## Model description
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This is a roBERTa-base model trained on ~23K reviews (more than 323K words) and finetuned for sentiment analysis of customer reviews. This model is built as part of author's project at the Uz-NLP 2022 Hackathon and it is suitable for Uzbek language.
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<b>Labels</b>: LABEL_0 -> Negative; LABEL_1 -> Positive
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## Model description
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