Natural Language Processing (Record no. 86983)

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fixed length control field 04270nam a22005895i 4500
001 - CONTROL NUMBER
control field 978-981-99-1999-4
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730170458.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 231114s2024 si | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9789819919994
-- 978-981-99-1999-4
082 04 - CLASSIFICATION NUMBER
Call Number 006.35
100 1# - AUTHOR NAME
Author Lee, Raymond S. T.
245 10 - TITLE STATEMENT
Title Natural Language Processing
Sub Title A Textbook with Python Implementation /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2024.
300 ## - PHYSICAL DESCRIPTION
Number of Pages XXXII, 437 p. 1 illus.
505 0# - FORMATTED CONTENTS NOTE
Remark 2 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).
520 ## - SUMMARY, ETC.
Summary, etc 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.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
General subdivision Data processing.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-981-99-1999-4
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
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-- Singapore :
-- Springer Nature Singapore :
-- Imprint: Springer,
-- 2024.
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-- computer
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-- online resource
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-- text file
-- PDF
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Natural language processing (Computer science).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational intelligence.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine learning.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Python (Computer program language).
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial intelligence
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Natural Language Processing (NLP).
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Artificial Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Computational Intelligence.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Machine Learning.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Python.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Data Science.
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