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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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- 0 -> Negative;
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- 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>:
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+ LABEL_0 -> Negative;
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+ LABEL_1 -> Positive
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  ## Model description
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