Sentiment Analysis: detect sentiment and emotions in short texts.
Given a short sentence, it returns a label representing the identified sentiment, along with a numeric score ranging from strongly positive (1.0) to extremely negative (-1.0).
This demo uses a pre-built model designed to detect expressed sentiment in product reviews (mobile apps reviews taken from the iTunes Store).