Essential Natural Language Processing

Author: Ekaterina Kochmar
Editor: Manning Publications
ISBN: 9781617296765
File Size: 14,98 MB
Format: PDF, ePub
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Essential Natural Language Processing is a hands-on guide filled with everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. By following the numerous Python-based examples and real-world case studies, you’ll apply NLP to search applications, extracting meaning from text, sentiment analysis, user profiling, and more. When you’re done, you’ll have a solid grounding in NLP that will serve as a foundation for further learning. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications.
Essential Natural Language Processing
Language: en
Pages: 325
Authors: Ekaterina Kochmar
Categories: Computers
Type: BOOK - Published: 2020-12-29 - Publisher: Manning Publications

Essential Natural Language Processing is a hands-on guide filled with everything you need to get started with NLP in a friendly, understandable tutorial. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. By following the
Getting Started with Google BERT
Language: en
Pages: 352
Authors: Sudharsan Ravichandiran
Categories: Computers
Type: BOOK - Published: 2021-01-22 - Publisher: Packt Publishing Ltd

Getting Started with Google BERT will help you become well-versed with the BERT model from scratch and learn how to create interesting NLP applications. You'll understand several variants of BERT such as ALBERT, RoBERTa, DistilBERT, ELECTRA, VideoBERT, and many others in detail.
Getting started with Deep Learning for Natural Language Processing
Language: en
Pages: 404
Authors: Sunil Patel
Categories: Computers
Type: BOOK - Published: 2021-01-13 - Publisher: BPB Publications

Learn how to redesign NLP applications from scratch. KEY FEATURES • Get familiar with the basics of any Machine Learning or Deep Learning application. • Understand how does preprocessing work in NLP pipeline. • Use simple PyTorch snippets to create basic building blocks of the network commonly used in NLP.
Deep Learning for Natural Language Processing
Language: en
Pages: 277
Authors: Palash Goyal, Sumit Pandey, Karan Jain
Categories: Computers
Type: BOOK - Published: 2018-06-26 - Publisher: Apress

Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The
Introduction to Natural Language Processing with SpaCy
Language: en
Pages:
Authors: Aaron Kramer
Categories: Computers
Type: BOOK - Published: 2017 - Publisher:

"SpaCy is an accessible tool that newcomers to the field of natural language processing (NLP) can use to accomplish large scale information extraction tasks. In this course, which is designed for the intermediate level Python programmer, data scientist Aaron Kramer covers the challenges common to NLP, shows how the spaCy