Python and NLP: Building Intelligent Applications

Rupesh Kumar Tipu

ISBN 10: 620747466X / ISBN 13: 9786207474660

Published by LAP LAMBERT Academic Publishing, 2024

About this Item

nach der Bestellung gedruckt Neuware - Printed after ordering - 'Python and NLP: Building Intelligent Applications' is a comprehensive guide that explores the dynamic field of natural language processing (NLP) through the lens of Python programming. This book offers a deep dive into the essential concepts, techniques, and tools that underpin NLP, providing readers with the knowledge to develop intelligent applications capable of understanding, interpreting, and generating human language. Starting with fundamental linguistic principles and Python's NLP libraries, it progresses to cover advanced topics such as machine learning, deep learning algorithms, and the latest NLP models like BERT and GPT. The book is structured to equip readers with practical skills, illustrated through real-world examples and case studies, enabling them to tackle contemporary challenges in NLP. Aimed at both beginners and experienced developers, this insightful text serves as a valuable resource for anyone looking to enhance their repertoire in Python-based NLP, emphasizing hands-on learning and cutting-edge techniques.

Seller Inventory # 9786207474660

Bibliographic Details

• Title: Python and NLP: Building Intelligent Applications
• Publisher: LAP LAMBERT Academic Publishing
• Publication Date: 2024
• Language: English
• ISBN 10: 620747466X
• ISBN 13: 9786207474660
• Binding: Taschenbuch
• Condition: Neu
• Dimensions: 220W x 150H x 4D millimeters 220 millimeters width by 150 millimeters height by 4 millimeters depth
• Weight: 102 grams

About this title

Synopsis

"Python and NLP: Building Intelligent Applications" is a comprehensive guide that explores the dynamic field of natural language processing (NLP) through the lens of Python programming. This book offers a deep dive into the essential concepts, techniques, and tools that underpin NLP, providing readers with the knowledge to develop intelligent applications capable of understanding, interpreting, and generating human language. Starting with fundamental linguistic principles and Python's NLP libraries, it progresses to cover advanced topics such as machine learning, deep learning algorithms, and the latest NLP models like BERT and GPT. The book is structured to equip readers with practical skills, illustrated through real-world examples and case studies, enabling them to tackle contemporary challenges in NLP. Aimed at both beginners and experienced developers, this insightful text serves as a valuable resource for anyone looking to enhance their repertoire in Python-based NLP, emphasizing hands-on learning and cutting-edge techniques.