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Natural Language Processing A Textbook with Python Implementation

Lee Raymond S. T.
Innbundet / 2023 / Engelsk

Produktdetaljer

ISBN
9789819919987
Publisert
2023-11-15
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Upper undergraduate, UU, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Forfatter
Lee Raymond S. T.

Om bidragsyterne

Dr. Raymond Lee is the founder of Quantum Finance Forecast System and currently an Associate Professor at United International College (UIC) with 25+ years’ experience in AI research and consultancy, Chaotic Neural Networks, NLP, Intelligent Fintech Systems, Quantum Finance, and Intelligent E-Commerce Systems. He has published over 100 publications and authored eight textbooks in the fields of AI, chaotic neural networks, AI-based fintech systems, intelligent agent technology, chaotic cryptosystems, ontological agents, neural oscillators, biometrics, and weather simulation and forecasting systems. Upon completion of the QFFC project, in 2018 he joined United International College (UIC), China to pursue further R&D work on AI-Fintech, and to share his expertise in AI-Fintech, chaotic neural networks and related intelligent systems with fellow students and the community. His two latest textbooks, Quantum Finance: Intelligent Forecast and Trading Systems (2019) and Artificial Intelligence in Daily Life (2020), have been the main textbooks for new AI courses at UIC since 2020

Natural Language Processing A Textbook with Python Implementation

Lee Raymond S. T.
Innbundet / 2023 / Engelsk
Lee Raymond S. T.
Innbundet / 2023 / Engelsk
Nettpris:
1.120,-
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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.
Les mer
Part I – Concepts and Technology.- Chapter 1. Introduction to Natural Language Processing.- Chapter 2. N-gram Language Model.- Chapter 3. Part-of-Speech Tagging.- Chapter 4. Syntax and Parsing.- Chapter 5. Meaning Representation.- Chapter 6. Semantic Analysis.- Chapter 7. Pragmatic Analysis and Discourse.- Chapter 8. Transfer Learning and Transformer Technology.- Chapter 9. Major Natural Language Processing Applications.- Part II –Natural Language Processing Workshops with Python Implementation in 14 Hours.- Chapter 10. Workshop#1 – Basics of Natural Language Toolkit (Hour 1-2).- Chapter 11. Workshop#2 – N-grams Modeling with Natural Language Toolkit (Hour 3-4).- Chapter 12. Workshop#3 – Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6).- Chapter 13. Workshop#4 – Semantic Analysis and Word Vectors using spaCy (Hour 7-8).- Chapter 14. Workshop#5 – Sentiment Analysis and Text Classification (Hour 9-10).- Chapter 15. Workshop#6 – Transformers with spaCy and TensorFlow (Hour11-12).- Chapter 16. Workshop#7 – Building Chatbot with TensorFlow and Transformer Technology (Hour 13-14).
Les mer
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.
Les mer
Up-to-date textbook on the basic concepts of Natural Language Processing Discusses the latest NLP-enabling technologies Step-by-step NLP workshops on Python implementation

Relaterte produkter

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.
Les mer
Part I – Concepts and Technology.- Chapter 1. Introduction to Natural Language Processing.- Chapter 2. N-gram Language Model.- Chapter 3. Part-of-Speech Tagging.- Chapter 4. Syntax and Parsing.- Chapter 5. Meaning Representation.- Chapter 6. Semantic Analysis.- Chapter 7. Pragmatic Analysis and Discourse.- Chapter 8. Transfer Learning and Transformer Technology.- Chapter 9. Major Natural Language Processing Applications.- Part II –Natural Language Processing Workshops with Python Implementation in 14 Hours.- Chapter 10. Workshop#1 – Basics of Natural Language Toolkit (Hour 1-2).- Chapter 11. Workshop#2 – N-grams Modeling with Natural Language Toolkit (Hour 3-4).- Chapter 12. Workshop#3 – Part-of-Speech Tagging using Natural Language Toolkit (Hour 5-6).- Chapter 13. Workshop#4 – Semantic Analysis and Word Vectors using spaCy (Hour 7-8).- Chapter 14. Workshop#5 – Sentiment Analysis and Text Classification (Hour 9-10).- Chapter 15. Workshop#6 – Transformers with spaCy and TensorFlow (Hour11-12).- Chapter 16. Workshop#7 – Building Chatbot with TensorFlow and Transformer Technology (Hour 13-14).
Les mer
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.
Les mer
Up-to-date textbook on the basic concepts of Natural Language Processing Discusses the latest NLP-enabling technologies Step-by-step NLP workshops on Python implementation

Produktdetaljer

ISBN
9789819919987
Publisert
2023-11-15
Utgiver
Vendor
Springer Verlag, Singapore
Høyde
235 mm
Bredde
155 mm
Aldersnivå
Upper undergraduate, UU, P, 05, 06
Språk
Product language
Engelsk
Format
Product format
Innbundet

Forfatter
Lee Raymond S. T.

Om bidragsyterne

Dr. Raymond Lee is the founder of Quantum Finance Forecast System and currently an Associate Professor at United International College (UIC) with 25+ years’ experience in AI research and consultancy, Chaotic Neural Networks, NLP, Intelligent Fintech Systems, Quantum Finance, and Intelligent E-Commerce Systems. He has published over 100 publications and authored eight textbooks in the fields of AI, chaotic neural networks, AI-based fintech systems, intelligent agent technology, chaotic cryptosystems, ontological agents, neural oscillators, biometrics, and weather simulation and forecasting systems. Upon completion of the QFFC project, in 2018 he joined United International College (UIC), China to pursue further R&D work on AI-Fintech, and to share his expertise in AI-Fintech, chaotic neural networks and related intelligent systems with fellow students and the community. His two latest textbooks, Quantum Finance: Intelligent Forecast and Trading Systems (2019) and Artificial Intelligence in Daily Life (2020), have been the main textbooks for new AI courses at UIC since 2020

Relaterte produkter