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Applied Natural Language Processing with Python

Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing

Authors: Beysolow II, Taweh

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  • Covers NLP packages such as NLTK, gensim,and SpaCy 
  • Approaches topics such as "topic modeling" and "text summarization" in a beginner-friendly manner
  • Explains how to ingest text data via web crawlers for use in deep learning NLP algorithms such as Word2Vec and Doc2Vec
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eBook $24.99
price for USA (gross)
  • ISBN 978-1-4842-3733-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $32.99
price for USA
  • ISBN 978-1-4842-3732-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.
About this book

Learn to harness the power of AI for natural language processing, performing tasks such as spell check, text summarization, document classification, and natural language generation. Along the way, you will learn the skills to implement these methods in larger infrastructures to replace existing code or create new algorithms. 
Applied Natural Language Processing with Python starts with reviewing the necessary machine learning concepts before moving onto discussing various NLP problems. After reading this book, you will have the skills to apply these concepts in your own professional environment.

What You Will Learn  

  • Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim
  • Manipulate and preprocess raw text data in formats such as .txt and .pdf
  • Strengthen your skills in data science by learning both the theory and the application of various algorithms  

Who This Book Is For 
You should be at least a beginner in ML to get the most out of this text, but you needn’t feel that you need be an expert to understand the content.

About the authors

Taweh Beysolow II is a Machine Learning Scientist and Author currently based in the United States. He has a Bachelor of Science degree in Economics from St. Johns University and a Master of Science in Applied Statistics from Fordham University. His professional experience has included applying machine learning and natural language processing techniques to financial, text (structured and unstructured), and social media data. 

Table of contents (5 chapters)

  • What Is Natural Language Processing?

    Beysolow II, Taweh

    Pages 1-12

  • Review of Deep Learning

    Beysolow II, Taweh

    Pages 13-42

  • Working with Raw Text

    Beysolow II, Taweh

    Pages 43-75

  • Topic Modeling and Word Embeddings

    Beysolow II, Taweh

    Pages 77-119

  • Text Generation, Machine Translation, and Other Recurrent Language Modeling Tasks

    Beysolow II, Taweh

    Pages 121-143

Buy this book

eBook $24.99
price for USA (gross)
  • ISBN 978-1-4842-3733-5
  • Digitally watermarked, DRM-free
  • Included format: PDF, EPUB
  • ebooks can be used on all reading devices
  • Immediate eBook download after purchase
Softcover $32.99
price for USA
  • ISBN 978-1-4842-3732-8
  • Free shipping for individuals worldwide
  • Usually dispatched within 3 to 5 business days.

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Bibliographic Information

Bibliographic Information
Book Title
Applied Natural Language Processing with Python
Book Subtitle
Implementing Machine Learning and Deep Learning Algorithms for Natural Language Processing
Authors
Copyright
2018
Publisher
Apress
Copyright Holder
Taweh Beysolow II
eBook ISBN
978-1-4842-3733-5
DOI
10.1007/978-1-4842-3733-5
Softcover ISBN
978-1-4842-3732-8
Edition Number
1
Number of Pages
XV, 150
Number of Illustrations and Tables
32 b/w illustrations
Topics