Lee R.S.T. Natural Language Processing: A Textbook With Python Implementation

Springer, 2023. - 453 p. - ISBN: 9819919983.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 NLP applications (e.g. Chatbot systems) using Python-based NLP tools. It is both a textbook and an 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.About the Book.Concepts and Technology
Natural Language Processing.
N-Gram Language Model.
Part-of-Speech (POS) Tagging.
Syntax and Parsing.
Meaning Representation.
Semantic Analysis.
Pragmatic Analysis and Discourse.
Transfer Learning and Transformer Technology.
Major NLP Applications.
Natural Language Processing Workshops with Python Implementation in 14 Hours
Workshop#1 Basics of Natural Language Toolkit (HHours1 – 2).
Workshop#2 N-grams in NLTK and Tokenization in SpaCy (Hour 3 – 4).
Workshop#3 POS Tagging Using NLTK (Hour 5 – 6).
Workshop#4 Semantic Analysis and Word Vectors Using spaCy (Hour 7 – 8).
Workshop#5 Sentiment Analysis and Text Classification with LSTM Using spaCy (Hour 9 – 10).
Workshop#6 Transformers with spaCy and TensorFlow (Hour 11 – 12).
Workshop#7 Building Chatbot with TensorFlow and Transformer Technology (Hour 13 – 14).True PDF