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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.
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.
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).
Erscheinungsjahr: | 2025 |
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Genre: | Importe, Informatik |
Rubrik: | Naturwissenschaften & Technik |
Medium: | Buch |
Inhalt: |
xxvi
479 S. 64 s/w Illustr. 191 farbige Illustr. 477 p. 255 illus. 191 illus. in color. |
ISBN-13: | 9789819632077 |
ISBN-10: | 9819632072 |
Sprache: | Englisch |
Einband: | Gebunden |
Autor: | Lee, Raymond |
Auflage: | Second Edition 2025 |
Hersteller: |
Springer
Springer Singapore |
Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
Maße: | 241 x 160 x 33 mm |
Von/Mit: | Raymond Lee |
Erscheinungsdatum: | 17.04.2025 |
Gewicht: | 0,914 kg |