Title
Beginning Natural Language Processing: Explore and learn natural language processing with GenSim, SpaCy, and Keras,Used
Sold by Ergodebooks, an authorized reseller.
Returns accepted within 30 days | support@ergodebooks.com
Shipping Information
- Free Standard Shipping — United States only
- Processing Time: 1–3 business days
- Estimated Delivery: 3–5 business days after dispatch
- Double-boxed, fully insured & discreetly packaged
- Tracking number sent via email once dispatched
- Orders over $250 require signature upon delivery. Taxes calculated at checkout.
Returns & Refund
Returns accepted within 30 days of delivery.
Damaged or Defective Item
Free return shipping + replacement or full refund
Wrong Item Received
Free return shipping + replacement or full refund
Change of Mind
Return shipping at customer's expense · 25% restocking fee applies
Payment Option
Learn NLP working through data and understand statistical NLP and deep learning Key Features A souptonuts introduction to natural language processing A introduction to 4 language processing frameworks, each with their strengths and particular application area An introduction to NLP with deep learning and Keras. Book DescriptionNatural language processing is like the secret sauce of artificial intelligence and machine learning. It is basically impossible to process unstructured data without it, and we should not forget that all data starts its existence as unstructured or semistructured data.This book is a broad introduction to natural language processing, travelling through data cleaning and computational linguistics, before presenting the more sophisticated areas of statistical NLP and deep learning. Correspondingly, the author emphasizes that the best frameworks should be used for applications they are best suited for, for instance, GenSim for topic modeling or Keras for deep learning.In all, Beginning Natural Language Processing does not go deep into libraries and frameworks, but tries to get the reader fired up about the power of natural language processing. What you will learn You will learn to clearly distinguish basic NLP terminology, e.g. you will know the difference between computational linguistics and natural language processing You will learn how to prepare text and corpora for analysis using computational linguistic methods Among other things, you will study the role of deep learning, particularly Keras, in the context of unstructured data, a role where RNNs and similar methods excel You will get to know the power of SpaCy in general NLP, a new open source framework focusing on natural language processing And you will learn how to apply GenSim for topic modeling and Scikit Learn for basic text processing Who This Book Is ForFluency in Python is assumed. Basic statistics is helpful. Given that this book introduces natural language processing from first principles, it helps, although it is not a requirement, to be familiar with basic linguistics.
⚠️ WARNING (California Proposition 65):
This product may contain chemicals known to the State of California to cause cancer, birth defects, or other reproductive harm.
For more information, please visit www.P65Warnings.ca.gov.