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  # Model
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- Multi-language sentiment classification model developed over the Microsoft (DeBERTa-v3 base model)[https://huggingface.co/microsoft/deberta-v3-base]. In order to train the model the following dataset where used:
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- - (tyqiangz/multilingual-sentiments)[tyqiangz/multilingual-sentiments]
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- - (cardiffnlp/tweet_sentiment_multilingual)[cardiffnlp/tweet_sentiment_multilingual]
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- - (mteb/tweet_sentiment_multilingual)[mteb/tweet_sentiment_multilingual]
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- - (Sp1786/multiclass-sentiment-analysis-dataset)[Sp1786/multiclass-sentiment-analysis-dataset]
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  - ABSC amazon review
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  - SST2
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  ---
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  # Model
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+ Multi-language sentiment classification model developed over the Microsoft [DeBERTa-v3 base model](https://huggingface.co/microsoft/deberta-v3-base). In order to train the model the following dataset where used:
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+ - tyqiangz/multilingual-sentiments
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+ - cardiffnlp/tweet_sentiment_multilingual
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+ - mteb/tweet_sentiment_multilingual
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+ - Sp1786/multiclass-sentiment-analysis-dataset
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  - ABSC amazon review
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  - SST2
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