Introduction To Natural Language Processing A Practical Guide For Beginners
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Introduction to Natural Language Processing - A Practical Guide for Beginners
Author: Sakil Ansari
language: en
Publisher: White Falcon Publishing
Release Date: 2023-03-02
"Introduction to Natural Language Processing: A practical guide for beginners" is a book that provides an overview of the field of natural language processing (NLP) and its applications. It is intended for individuals with little to no experience in the area. It aims to provide a comprehensive introduction to the concepts and techniques used in NLP. The book is aimed at beginners and offers a practical guide for understanding and working with NLP techniques. It covers NLP fundamental concepts and methods, such as tokenization, stemming, lemmatization, and part-of-speech tagging. It also discusses more advanced topics such as sentiment analysis, text generation, and machine translation. The book uses Python programming language and provides examples to help readers practice and apply the concepts they learn. The book also includes real-world case studies using NLP to solve real-world problems. The book is written clearly and concisely, making it easy for beginners to understand. It provides a good foundation for those interested in pursuing a career in NLP or related fields such as machine learning, artificial intelligence, or data science. It is also helpful for professionals who want to understand NLP and its applications in their areas. Overall, "Introduction to Natural Language Processing: A practical guide for beginners" is an excellent resource for anyone interested in learning about NLP. Whether you are a student, researcher, or professional, this book provides a comprehensive introduction to the field of NLP. It will help you understand and apply the concepts and techniques of this exciting field.
Natural Language Processing for Beginners
Author: Dr. Sumalatha Lingamgunta
language: en
Publisher: Academic Guru Publishing House
Release Date: 2025-01-06
Natural Language Processing for Beginners serves as an introduction to the essential principles and tools used to understand and manipulate human language through machines. Written specifically for beginners, this book focuses on making the complex world of NLP accessible by breaking down concepts into simple, easy-to-follow explanations. The book covers key topics such as text preprocessing, tokenization, sentiment analysis, named entity recognition, and word embeddings, offering a comprehensive overview of the field’s core areas. Structured in a way that facilitates learning by doing, the book provides practical exercises, code examples, and hands-on projects that guide readers step-by-step. It introduces the key libraries and tools like NLTK, spaCy, and Hugging Face Transformers, ensuring readers become familiar with industry-standard resources. The book also explores applications of NLP in real-world scenarios, such as chatbots, social media monitoring, and document classification. Designed for aspiring data scientists, software engineers, and anyone interested in language technology, Natural Language Processing for Beginners is the ideal entry point for those looking to master NLP techniques. Whether you aim to build intelligent systems or dive deeper into the field of AI, this book lays the foundation for an exciting journey into the world of language understanding.
Introduction to Natural Language Processing
Author: Dr. Om Prakash Sharma
language: en
Publisher: Addition Publishing House
Release Date: 2025-02-28
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.