July 2017
Beginner to intermediate
486 pages
13h 49m
English
Content preview from Python Natural Language Processing
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What this book covers
Chapter 1, Introduction, provides an introduction to NLP and the various branches involved in the NLP domain. We will see the various stages of building NLP applications and discuss NLTK installation.
Chapter 2, Practical Understanding of Corpus and Dataset, shows all the aspects of corpus analysis. We will see the different types of corpus and data attributes present in corpuses. We will touch upon different corpus formats such as CSV, JSON, XML, LibSVM, and so on. We will see a web scraping example.
Chapter 3, Understanding Structure of Sentences, helps you understand the most essential aspect of natural language, which is linguistics. We will see the concepts of lexical analysis, syntactic analysis, semantic analysis, ...
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I'm always learning. So when I got on to O'Reilly, I was like a kid in a candy store. There are playlists. There are answers. There's on-demand training. It's worth its weight in gold, in terms of what it allows me to do.