Natural language processing: a textbook with Python implementation
Lee, Raymond S. T.
Natural language processing: a textbook with Python implementation - Singapore: Springer Nature, 2024. - xxxii, 437p.: col. ill.; pbk.: 24 cm.
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
9789819920013
Natural Language Processing (NLP)
Artificial Intelligence
Computational Intelligence
Machine Learning
Python
Data Structures and Information Theory
006.35 LEE
Natural language processing: a textbook with Python implementation - Singapore: Springer Nature, 2024. - xxxii, 437p.: col. ill.; pbk.: 24 cm.
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
9789819920013
Natural Language Processing (NLP)
Artificial Intelligence
Computational Intelligence
Machine Learning
Python
Data Structures and Information Theory
006.35 LEE
