Sentimental Lexicons are used to improve the performance of binary Naive Bayes Classifier when there is not enough labelled training data. Sentimental Lexicons are dictionary of words prelabelled as positive or negative. With sentimental Lexicons, the features for each word in Binary Naive Bayes Classification can be defined as binary variables: "This word occurs in positive lexicon" and "This word occurs in negative lexicons".