Natural Language Processing in Action: Understanding, Analyzing, and Generating Text with Python Audible Audiobook – Unabridged
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.
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.
- 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.
This book requires a basic understanding of deep learning and intermediate Python skills.
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?).
"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)
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|Listening Length||18 hours and 29 minutes|
|Author||Hobson Lane, Hannes Hapke, Cole Howard|
|Audible.com.au Release Date||02 September 2019|
|Best Sellers Rank||
78,443 in Audible Books & Originals (See Top 100 in Audible Books & Originals)
50 in Natural Language Processing
67 in Computer Neural Networks
70 in Machine Theory & AI
Review this product
Top reviews from other countries
This is pretty gentle and easy introduction for the first few chapters, bag or words, tokenisation, dimension reduction and word vectors, before getting into the the details of recurrent networks and LSTM based encoders-decoder networks. I could follow the first two thirds of the book, some of the narrative was a little repetitive in the early chapters. There are some coding errata, dues to the pace of change in supporting libraries.
But it all gets a bit hairy around chapt10, with LSTM encoders-decoders. This is demanding stuff. The explanation is as good or better than other books (e.g. Chollets excellent deep learning book). But its still a little beyond my little brain. So it requires a deeper intellectual investment for the last b150 pages, and some serious investment in GPU and or cloud based Tensorflow processing capability.
Nothing is for free, and I fear that the advancement of deep NLP will remain within the big players like Google and Facebook if we are not careful.
This is my second Manning textbook (after Deep Learning with Python by Francois Chollet), and I definitely love this publishing house: textbooks written in conversational English (so it's great to read) with a reasonable depth and precision in explanations. Another bonus is that I absolutely love the covers artworks!
Reviewed in the United Kingdom on 9 December 2020