Chapter 1, Getting Started with Text Classification, introduces the reader to NLP and what a good NLP workflow looks like. You will also learn how to prepare text for machine learning with scikit-learn.
Chapter 2, Tidying Your Text, discusses some of the most common text pre-processing ideas. You will be introduced to spaCy and will learn how to use it for tokenization, sentence extraction, and lemmatization.
Chapter 3, Leveraging Linguistics, goes into a simple use case and examines how we can solve it. Then, we repeat this task again, but on a slightly different text corpus.
Chapter 4, Text Representations – Words to Numbers, introduces readers to the Gensim API. We will also learn to load pre-trained GloVe vectors ...
