April 2018
Beginner
552 pages
13h 58m
English
This chapter presents recipes to build text classifiers. This includes extracting vital features from the database, training, testing, and validating the text classifier. Initially, a text classifier is trained using commonly used words. Later, the trained text classifier is used for prediction. Building a text classifier includes preprocessing the data using tokenization, stemming text data, dividing text using chunking, and building a bag-of-words model.