Название: Natural Language Processing in Action, Second Edition (MEAP v8)Автор: Hobson Lane, Maria Dyshel
Издательство: Manning Publications
Год: 2023
Страниц: 406
Язык: английский
Формат: pdf (true)
Размер: 26.6 MB
Develop your NLP skills from scratch! This revised bestseller now includes coverage of the latest Python packages, Transformers, the HuggingFace packages, and chatbot frameworks.
In Natural Language Processing in Action, Second Edition you will learn how to
Process, analyze, understand, and generate natural language text
Build production-quality NLP pipelines with spaCy
Build neural networks for NLP using Pytorch
BERT and GPT transformers for English composition, writing code, and even organizing your thoughts
Create chatbots and other conversational AI agents
Natural Language Processing in Action has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. As you go, you’ll create projects that can detect fake news, filter spam, and even answer your questions, all built with Python and its ecosystem of data tools.
about the technology
Deep learning has been a giant leap forward for NLP applications. Developers can now build chatbots and other natural language tools that can imitate real people, diagnose illness, automatically summarize documents, and more. Accessible open source tools such as spaCy and PyTorch make production-level NLP easier and more impactful than ever before.
The Chapter 1 shows you how your software can natural language to produce useful process output. You might even think of your program as a natural language interpreter, similar to how the Python interpreter processes source code. When the computer program you develop processes natural language, it will be able to act on those statements or even reply to them.
Unlike a programming language where each keyword has an unambiguous interpretation, natural languages are much more fuzzy. This fuzziness of natural language leaves open to you the interpretation of each word. So, you get to choose how the bot responds to each situation. Later you will explore advanced techniques in which the machine can learn from examples, without you knowing anything about the content of those examples.
about the book
Natural Language Processing in Action, Second Edition is your guide to building software that can read and interpret human language. This new edition is updated to include the latest Python packages and comes with full coverage of cutting-edge models like BERT, GPT-J and HuggingFace transformers.
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