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Natural Language Processing in Action: Understanding, analyzing, and generating text with Python First Edition

by Hobson Lane (Author), Hannes Hapke (Author), Cole Howard (Author)
4.4 4.4 out of 5 stars 125 ratings
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Natural Language Processing in Action, Second Edition
Natural Language Processing in Action, Second Edition
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This title will be released on June 25, 2024.
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Summary
Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI.

Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. All examples are included in the open source `nlpia` package on python.org and github.com, complete with a conda environment and Dockerfile to help you get going quickly on any platform.

About the Technology
Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries--all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before.

About the Book
Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions.

What's inside
  • Some sentences in this book were written by NLP! Can you guess which ones?
  • Working with Keras, TensorFlow, gensim, and scikit-learn
  • Rule-based and data-based NLP
  • Scalable pipelines

About the Reader
This book requires a basic understanding of deep learning and intermediate Python skills.
About the Authors
Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production for profit and fun: contributing to social-benefit projects like smart guides for people with blindness and cognitive assistance for those with developmental challenges or suffering from information overload (don't we all?).

Table of Contents
    PART 1 - WORDY MACHINES
    • Packets of thought (NLP overview)
    • Build your vocabulary (word tokenization)
    • Math with words (TF-IDF vectors)
    • Finding meaning in word counts (semantic analysis)

    PART 2 - DEEPER LEARNING (NEURAL NETWORKS)
    • Baby steps with neural networks (perceptrons and backpropagation)
    • Reasoning with word vectors (Word2vec)
    • Getting words in order with convolutional neural networks (CNNs)
    • Loopy (recurrent) neural networks (RNNs)
    • Improving retention with long short-term memory networks
    • Sequence-to-sequence models and attention

    PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES)
    • Information extraction (named entity extraction and question answering)
    • Getting chatty (dialog engines)
    • Scaling up (optimization, parallelization, and batch processing)

    Review

    "Learn both the theory and practical skills needed to go beyond merely understanding the inner workings of NLP, and start creating your own algorithms or models."--From the Foreword by Dr. Arwen Griffioen, Zendesk

    "Provides a great overview of current NLP tools in Python. I'll definitely be keeping this book on hand for my own NLP work. Highly recommended!"--Tony Mullen, Northeastern University-Seattle

    "An intuitive guide to get you started with NLP. The book is full of programming examples that help you learn in a very pragmatic way."--Tommaso Teofili, Adobe Systems

    About the Author

    Hobson Lane has more than 15 years of experience building autonomous systems that make important decisions on behalf of humans.

    Hannes Hapke is an Electrical Engineer turned Data Scientist with experience in deep learning.

    Cole Howard is a carpenter and writer turned Deep Learning expert.
    Previous page
    1. ISBN-10
      1617294632
    2. ISBN-13
      978-1617294631
    3. Edition
      First Edition
    4. Publisher
      Manning
    5. Publication date
      April 14, 2019
    6. Language
      English
    7. Dimensions
      7.38 x 1 x 9.25 inches
    8. Print length
      544 pages
    9. See all details
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    Product details

    • Publisher ‏ : ‎ Manning; First Edition (April 14, 2019)
    • Language ‏ : ‎ English
    • Paperback ‏ : ‎ 544 pages
    • ISBN-10 ‏ : ‎ 1617294632
    • ISBN-13 ‏ : ‎ 978-1617294631
    • Item Weight ‏ : ‎ 2.07 pounds
    • Dimensions ‏ : ‎ 7.38 x 1 x 9.25 inches
    • Customer Reviews:
      4.4 4.4 out of 5 stars 125 ratings

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    Previous page

    1. Hannes Hapke

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      Hannes is a Senior Machine Learning Engineer at SAP Concur where he focuses on ML Infrastructure and Natural Language Processing projects. Hannes is a Google Developer Expert for Machine Learning and a co-author of machine learning publications like NLP in Action

      and the O'Reilly publication on Building Machine Learning Pipelines with TensorFlow.

      See more on the author's page

    2. Hobson Lane

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      Full content visible, double tap to read brief content.

      Hobson Lane is a machine learning engineer with a passion for teaching and writing. So it's no surprise that his first book teaches how to "compile" natural language into software that machines can execute. Hobson has been building control systems for 30 years, from offroad self-driving cars (TerraHawk) to spacefaring robots (NASA's AWIMR project and NGST's Formation Flying laboratory). Hobson's true passion is for robots that can communicate in natural language (English). His answer to the rise of antisocial chatbots is to build and train prosocial virtual assistants. He's on a mission to teach the world how to build chatbots that actually assist us rather than manipulate us. He built the first "visual interpreter for the blind" at Aira, and is now helping architect a cognitive assistant for medical providers at Manceps as well as a safety-monitoring smart camera for DeepCanopy. A how-to book on building cognitive assistants won't be far behind.

      See more on the author's page

    3. Cole Howard

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      Discover more of the author’s books, see similar authors, read author blogs and more

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    Top reviews from the United States

    John E. Miller
    5.0 out of 5 stars Great coverage of NLP methods in Chatbot vehicle.
    Reviewed in the United States on August 16, 2019
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    8 people found this helpful
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    Robert
    5.0 out of 5 stars Good intro to NLP
    Reviewed in the United States on September 21, 2019
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    Jinesh
    4.0 out of 5 stars Good read, covers NLP concepts
    Reviewed in the United States on August 6, 2019
    3 people found this helpful
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    Amazon Customer
    5.0 out of 5 stars Clear precise text with well written introductions
    Reviewed in the United States on June 29, 2020
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    GS
    5.0 out of 5 stars Makes NLP achievable even by a high-schooler!
    Reviewed in the United States on January 2, 2021
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    Feri
    5.0 out of 5 stars Easy to learn and understood
    Reviewed in the United States on November 3, 2019
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    Steve
    5.0 out of 5 stars great book
    Reviewed in the United States on June 12, 2019
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    R Senser
    1.0 out of 5 stars VERY hard to read due to bad formatting
    Reviewed in the United States on May 31, 2021
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    Kiran Kumar
    5.0 out of 5 stars NLPIA
    Reviewed in India on July 5, 2023
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    Franz
    5.0 out of 5 stars Great review, and very enjoyable to read!
    Reviewed in the United Kingdom on September 30, 2020
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    Sante
    5.0 out of 5 stars Descriptive and very well organized
    Reviewed in Italy on February 17, 2020
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    Hiran Dissanayake
    5.0 out of 5 stars Love it..
    Reviewed in Germany on January 31, 2020
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    Jules
    4.0 out of 5 stars Pretty good introduction to NLP - but gets a little hairy in the last third for novices
    Reviewed in the United Kingdom on October 2, 2020
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