Kimtai Lewis

Sentimental Classification is a binary classification problem that uses a classifier to predict whether a piece of text is positive or negative. The classifier is trained on a corpus of text, and then applied to new documents. The classifier is a binary classifier, meaning that it can only classify into two classes: positive or negative.