Introduction to Natural Language Processing

Introduction to Natural Language Processing provides a comprehensive introduction to the field of NLP, designed for readers with varying levels of expertise. The book begins with foundational concepts, including tokenization, part-of-speech tagging, and syntactic parsing, before advancing to machine learning techniques, deep learning methods, and modern NLP applications.
With clear explanations and real-world examples, the book demonstrates how NLP is used in everyday applications such as chatbots, search engines, and social media analysis. The text is crafted to serve both academic and practical purposes, offering a balance between theoretical understanding and hands-on coding exercises.
It covers important algorithms like Naive Bayes, decision trees, and recurrent neural networks (RNNs), as well as current trends such as transformer models and BERT. Each chapter includes exercises that reinforce key ideas, allowing readers to apply what they’ve learned and gain practical experience with common NLP tools and libraries. This book serves as an essential resource for those seeking to enter the world of NLP, with a strong focus on the evolving landscape of natural language technologies.
Whether you’re starting from scratch or seeking to deepen your expertise, Introduction to Natural Language Processing will provide the tools and knowledge necessary for success in this exciting field.