blanchefort/rubert-base-cased-sentiment-med

The model is a DeepPavlov/rubert-base-cased-conversational model trained on corpus of medical reviews . The model has been used to train a model that predicts a positive or negative effect on a person's opinion of a medical review . The result is a positive/negative (NUTRAL) or negative (NEGATIVE) score . The score is 1-1, with negative (PAT) and negative (NPAT) for positive (NAT) or Negative (NAP) for negative (PGA) . The number of words used in the model is 1/2 . The value of a positive (PATA) is 1 . The,