Chapter 1, Getting Started, explores the basic concepts of NLP and the various problems it tries to solve. We also look at some of the real-world applications to give the reader the feeling of the wide range of applications that leverage NLP.
Chapter 2, Text Classification and POS Tagging Using NLTK, introduces the popular NLTK Python library. We will be using NLTK to describe basic NLP tasks, such as tokenizing, stemming, tagging, and classic text classification. We also explore POS tagging with NLTK. We provide the reader with the tools and techniques necessary to prepare data for input into deep learning models.
Chapter 3, Deep Learning and TensorFlow, introduces the basic concepts of deep learning. This chapter will ...
