BOOKS - Natural Language Processing A Textbook With Python Implementation
Natural Language Processing A Textbook With Python Implementation - Raymond S. T. Lee 2024 PDF Springer BOOKS
ECO~18 kg CO²

1 TON

Views
20402

Telegram
 
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



Pay with Telegram STARS
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.
''

You may also be interested in:

Natural Language Processing A Textbook With Python Implementation
Natural Language Processing A Textbook With Python Implementation
Natural Language Processing for Beginners : Advanced Techniques and Applications in Natural Language Processing
Natural Language Processing in the Real World: Text Processing, Analytics, and Classification (Chapman and Hall CRC Data Science Series)
Natural Language Processing with Transformers Building Language Applications with Hugging Face
Natural Language Processing for Beginners Demystifying Language in the Digital Age
Natural Language Processing for Beginners Demystifying Language in the Digital Age
Natural Language Processing with PyTorch Build Intelligent Language Applications Using Deep Learning
Language Intelligence Expanding Frontiers in Natural Language Processing
Deep Learning for Natural Language Processing Develop Deep Learning Models for Natural Language in Python
A Course in Natural Language Processing
Natural Language Processing
A Course in Natural Language Processing
A Course in Natural Language Processing
Explainable Natural Language Processing
Introduction to Natural Language Processing
Python for Natural Language Processing, 3E
Applied Natural Language Processing in the Enterprise
Natural Language Processing And Information Retrieval
Representation Learning for Natural Language Processing
Natural Language Processing using R Pocket Primer
Natural Language Processing using R Pocket Primer
Getting Started with Natural Language Processing (MEAP)
Getting Started with Natural Language Processing (MEAP)
Transfer Learning for Natural Language Processing
Natural Language Processing for Software Engineering
Foundations of Statistical Natural Language Processing
Natural Language Processing for Corpus Linguistics
Natural Language Processing Fundamentals for Developers
Natural Language Processing for Corpus Linguistics
Discontinuous Constituency (Natural Language Processing, 6)
Mastering Large Language Models with Python Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python
Mastering Large Language Models with Python Unleash the Power of Advanced Natural Language Processing for Enterprise Innovation and Efficiency Using Large Language Models (LLMs) with Python
Representalion and Processing of Natural Language (German Edition)
Natural Language Processing with Transformers (Early Release)
Formal Analysis for Natural Language Processing: A Handbook
Natural Language Processing (A Machine Learning Perspective)
Neural Network Methods in Natural Language Processing
Practical Natural Language Processing (Early Release)
Bayesian Analysis in Natural Language Processing, Second Edition