
BOOKS - Natural Language Processing A Textbook With Python Implementation

Natural Language Processing A Textbook With Python Implementation
Author: Raymond S. T. Lee
Year: 2024
Pages: 454
Format: PDF
File size: 23,9 MB
Language: ENG

Year: 2024
Pages: 454
Format: PDF
File size: 23,9 MB
Language: ENG

Natural Language Processing (NLP) is a field of computer science that focuses on the interaction between computers and humans using language. The book "Natural Language Processing: A Textbook with Python Implementation" by Steven Bird, Ewan Klein, and Leda Bui provides a comprehensive introduction to NLP, covering topics such as tokenization, stemming, lemmatization, parsing, and semantic reasoning. The authors use Python to implement the concepts presented in the book, making it an excellent resource for those looking to learn about NLP and gain practical experience with the subject. The book begins with an overview of the history of NLP, highlighting its importance in understanding the evolution of technology and its impact on society. The authors emphasize the need to develop a personal paradigm for perceiving the technological process of developing modern knowledge, which they argue is essential for survival in today's rapidly changing world. They also stress the importance of unifying people in a warring state, citing the need for cooperation and collaboration to overcome the challenges posed by technological advancements. The first chapter delves into the basics of NLP, including the nature of language and the different types of linguistic analysis. The authors explain how language can be used to represent meaning and how it can be processed by computers.
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