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Verfasst von:Lane, Hobson [VerfasserIn]   i
 Dyshel, Maria [VerfasserIn]   i
Titel:Natural language processing in action
Verf.angabe:Lane Hobson, Maria Dyshel
Ausgabe:Second edition
Verlagsort:Shelter Island, New York
Verlag:Manning Publications
Jahr:2025
Umfang:xxxi, 653 pages
Illustrationen:illustrations
Fussnoten:Includes bibliographical references and index
ISBN:978-1-61729-944-5
 1-61729-944-8
Abstract: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. 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.
 From nearly human chatbots to ultra-personalized business reports to AI-generated email, news stories, and novels, natural language processing (NLP) has never been more powerful! Groundbreaking advances in deep learning have made high-quality open source models and powerful NLP tools like spaCy and PyTorch widely available and ready for production applications. This book is your entrance ticket, and backstage pass, into the next generation of natural language processing. Natural Language Processing in Action, Second Edition introduces the foundational technologies and state-of-the-art tools you'll need to write and publish NLP applications. You learn how to create custom models for search, translation, writing assistants, and more, without relying on big commercial foundation models. This fully updated second edition includes coverage of BERT, Hugging Face transformers, fine-tuning large language models, and more
Schlagwörter:(s)Natürliche Sprache   i / (s)Automatische Sprachanalyse   i / (s)Textverstehendes System   i / (s)Python <Programmiersprache>   i
Sprache:eng
RVK-Notation:ST 250   i
 ST 306   i
Sach-SW:Traitement automatique des langues naturelles
K10plus-PPN:1919199063
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