Description:

The model detects the sentiment of a given text. This is a binary classification model that classifies the text as either positive or negative. The model also provides a confidence score of the predicted class.

The model has been trained on a dataset of Yelp restaurant reviews. The Yelp reviews dataset is constructed by considering stars 1 and 2 as negative, and 3 and 4 as positive. The model showed a 96% accuracy on a validation set of 1000 records.