Python is the most widely used language for natural language processing (NLP) thanks to its extensive tools and libraries for analyzing text and extracting computer-usable data. This book will take you through a range of techniques for text processing, from basics such as parsing parts of speech to complex topics such as topic modeling, text classification, and visualization.
Starting with an overview of NLP, the book presents recipes for dividing text into sentences, stemming and lemmatization, removing stopwords, and parts-of-speech tagging to help you to prepare your data. You'll then learn about ways of extracting and representing grammatical information, such as dependency parsing and anaphora resolution, discover different ways ...
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