Natural language processing: a textbook with Python implementation

By:

Lee, Raymond S. T

Publication details: Singapore: Springer Nature, 2024.Description: xxxii, 437p.: col. ill.; pbk.: 24 cmISBN:

9789819920013

Subject(s):

DDC classification:

006.35 LEE

Summary: This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools like NLTK, spaCy, TensorFlow Kera, Transformer and BERT. The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops. https://link.springer.com/book/10.1007/978-981-99-1999-4

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Item type	Current library	Collection	Call number	Copy number	Status	Barcode
Books	IIT Gandhinagar	General	006.35 LEE (Browse shelf(Opens below))	1	Available	035189

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Previous	006.35 KAM Deep learning for NLP and speech recognition	006.35 KUR More than a chatbot: language models demystified	006.35 LAN Natural language processing in action: understanding, analyzing, and generating text with Python	006.35 LEE Natural language processing: a textbook with Python implementation	006.35 MAR Large language models projects: apply and implement strategies for large language models	006.35 PIL Embeddings in Natural Language Processing:	006.35 RAA Large language models	Next

Includes Bibliographical References and Index

This textbook presents an up-to-date and comprehensive overview of Natural Language Processing (NLP), from basic concepts to core algorithms and key applications. Further, it contains seven step-by-step NLP workshops (total length: 14 hours) offering hands-on practice with essential Python tools like NLTK, spaCy, TensorFlow Kera, Transformer and BERT.

The objective of this book is to provide readers with a fundamental grasp of NLP and its core technologies, and to enable them to build their own NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and NLP tool-book intended for the following readers: undergraduate students from various disciplines who want to learn NLP; lecturers and tutors who want to teach courses or tutorials for undergraduate/graduate students on NLP and related AI topics; and readers with various backgrounds who want to learn NLP, and more importantly, to build workable NLP applications after completing its 14 hours of Python-based workshops.

https://link.springer.com/book/10.1007/978-981-99-1999-4

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