.... The classifier models were finetuned on tagged transcripts. Findings The model showed an accuracy of 96% in Emotion classification and 98% in Sentiment Classification, having high precision, recall, F1-Score and Support. Also text-generation in Patient Interaction Module and Summary Generation part with good...