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.

Looking for a high-quality, original digital edition of Natural Language Processing. A Textbook with Python Implementation ? This official electronic version is published by Springer and offers a seamless reading experience, perfect for professionals, students, and enthusiasts in Computer Engineering.
Unlike EPUB files, this is the authentic digital edition with complete formatting, images, and original content as intended by the author .
Enjoy the convenience of digital reading without compromising on quality. Order Natural Language Processing. A Textbook with Python Implementation today and get instant access to this essential book!