Natural Language Processing For Beginners

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Natural Language Processing Crash Course For Beginners

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Author : Ai Publishing
language : en
Publisher:
Release Date : 2020-08-04

Natural Language Processing Crash Course For Beginners written by Ai Publishing and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-08-04 with categories.

Natural Language Processing Crash Course for Beginners Artificial Intelligence (AI) isn't the latest fad! The reason is AI has been around since 1956, and its relevance is evident in every field today. Artificial Intelligence incorporates human intelligence into machines. Machine Learning (ML), a branch of AI, enables machines to learn by themselves. Deep Learning (DL), a subfield of Machine Learning, uses algorithms that are inspired by the functioning of the human brain. Natural Language Processing (NLP) combines computational linguistics and Artificial Intelligence, enabling computers and humans to communicate seamlessly. And NLP is immensely powerful and impactful as every business is looking to integrate it into their day to day dealings. How Is This Book Different? This book by AI Publishing is carefully crafted, giving equal importance to the theoretical concepts as well as the practical aspects of natural language processing. In each chapter of the second half of the book, the theoretical concepts of different types of deep learning and NLP techniques have been covered in-depth, followed by practical examples. You will learn how to apply different NLP techniques using the TensorFlow and Keras libraries for Python. Each chapter contains exercises that are designed to evaluate your understanding of the concepts covered in that chapter. Also, in the Resources section of each chapter, you can access the Python notebook. The author has also compiled a list of hands-on NLP projects and competitions that you can try on your own. The main benefit of purchasing this book is you get immediate access to all the extra learning material presented with this book--Python codes, exercises, PDFs, and references--on the publisher's website without having to spend an extra cent. You can download the datasets used in this book at runtime, or you can access them in the Resources/Datasets folder. The author holds your hand through everything. He provides you a step by step explanation of the installation of the software needed to implement the various NLP techniques in this book. You can start experimenting with the practical aspects of NLP right from the beginning. Even if you are new to Python, you'll find the ultra-short course on Python programming language in the second chapter immensely helpful. You get all the codes and datasets with this book. So, if you have access to a computer with the internet, you can get started. The topics covered include: What is Natural Language Processing? Environment Setup and Python Crash Course Introduction to Deep Learning Text Cleaning and Manipulation Common NLP Tasks Importing Text Data from Various Sources Word Embeddings: Converting Words to Numbers IMDB Movies Sentimental Analysis Ham and Spam Message Classification Text Summarization and Topic Modeling Text Classification with Deep Learning Text Translation Using Seq2Seq Model State of the Art NLP with BERT Transformers Hands-on NLP Projects/Articles for Practice Exercise Solutions Click the BUY button and download the book now to start your Natural Language Processing journey.

Natural Language Processing For Beginners

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Author : Dr. Sumalatha Lingamgunta
language : en
Publisher: Academic Guru Publishing House
Release Date : 2025-01-06

Natural Language Processing For Beginners written by Dr. Sumalatha Lingamgunta and has been published by Academic Guru Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-06 with Study Aids categories.

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.

Natural Language Processing Projects For Beginners

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Author : Dr.M. Praneesh
language : en
Publisher: SGSH Publications
Release Date : 2025-01-11

Natural Language Processing Projects For Beginners written by Dr.M. Praneesh and has been published by SGSH Publications this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-01-11 with Antiques & Collectibles categories.

This book aims to enter to cater to beginners who look to learning NLP Projects. The goal of this book is to facilitate the students to understand different concepts of Natural Language Processing applications. The book is divided into 15 chapters. Each chapter mainly focuses on issues and solutions concerned with Natural Language Processing problems.

Introduction To Natural Language Processing A Practical Guide For Beginners

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Author : Sakil Ansari
language : en
Publisher: White Falcon Publishing
Release Date : 2023-03-02

Introduction To Natural Language Processing A Practical Guide For Beginners written by Sakil Ansari and has been published by White Falcon Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-03-02 with categories.

"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.

Introduction To Natural Language Processing

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Author : Dr. Om Prakash Sharma
language : en
Publisher: Addition Publishing House
Release Date : 2025-02-28

Introduction To Natural Language Processing written by Dr. Om Prakash Sharma and has been published by Addition Publishing House this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-28 with Antiques & Collectibles categories.

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.

Introduction To Natural Language Processing

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Author : Xiaochun Cheng
language : en
Publisher: CRC Press
Release Date : 2025-06-27

Introduction To Natural Language Processing written by Xiaochun Cheng and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-06-27 with Computers categories.

This is a comprehensive natural language processing (NLP) guide, covering key techniques like sentiment analysis, machine translation, and named entity recognition. It explores deep learning models, and practical applications in multiple sectors, and is perfect for students and professionals looking to master NLP's transformative power.

Mastering Natural Language Processing Using Python

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Author : Dr. Goonjan Jain
language : en
Publisher: Sultan Chand & Sons
Release Date : 2025-02-01

Mastering Natural Language Processing Using Python written by Dr. Goonjan Jain and has been published by Sultan Chand & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-01 with Computers categories.

This book is a comprehensive guide to Natural Language Processing (NLP), designed for both beginners and advanced learners. Whether you're just starting or looking to refine your skills, this book takes you through every aspect of NLP – from the basics of text processing to cutting-edge machine learning techniques used in NLP today. It combines theoretical foundations with practical examples using Python, making complex NLP concepts accessible and actionable. The book is rich with practical exercises, hands-on Python code snippets, and visual aids, ensuring that readers not only understand the concepts but also see how they apply in real-world scenarios. By the end of the book, readers will be proficient in using NLP libraries and will have a clear understanding of how to implement NLP solutions in Python.

Natural Language Processing

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Author : Samuel Burns
language : en
Publisher:
Release Date : 2019-07-08

Natural Language Processing written by Samuel Burns and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-07-08 with categories.

Natural language processing (NLP) is about developing applications and services that are able to understand human languages. In this perfect Natural Language Processing Tutorial, we will use Python NLTK library. Natural language toolkit (NLTK) is the most popular library for natural language processing (NLP) which was written in Python and has a big community behind it. This is the Ultimate guide to learn Natural Language Processing (NLP) basics, such as how to identify and separate words, how to extract topics in a text. You dont need a big and a boring book to start today .So Get Your Copy Now!!Book ObjectivesThe book objectives include the following: To help you appreciate big data as a great source of information and knowledge. To help you understand natural language processing. To help you know how to use natural language processing to extract knowledge and information from big data. To help you learn how to implement natural language processing solutions using NLTK (Natural Language Processing Toolkit) and other libraries in Python. Who this Book is for? Do you belong to any of the following categories? You are a complete beginner to natural language processing. You want to learn Python programming for natural language processing. You want to advance your skills in Python for natural language processing. Professors, lecturers or tutors who are looking to find better ways to explain Natural Language Processing to their students in the simplest and easiest way. Students and academicians, especially those focusing on python programming, Neural Networks, Machine Learning, Deep Learning, and Artificial Intelligence. If yes, this is the right book for you. What do you need for this Book? You only have to have installed Python 3.X on your computer. The author guides you on how to install the rest of the libraries on your computer. What is inside the book? GETTING STARTED WITH NATURAL LANGUAGE PROCESSING TEXT WRANGLING AND CLEANSING. REPLACING AND CORRECTING WORDS. TEXT CLASSIFICATION. SENTIMENT ANALYSIS. PARSING STRUCTURE IN TEXT. SOCIAL MEDIA MINING. NLTK FOR SENTIMENT ANALYSIS. SCIKIT-LEARN FOR TEXT CLASSIFICATION. WORK WITH PDF FILES IN PYTHON. WORK WITH TEXT FILES IN PYTHON. WORD2VEC ALGORITHM. NLP APPLICATIONS From the back cover.This comprehensive guide covers both statistical and symbolic approaches to Natural Language Processing. This is a good introduction to all the major topics of computational linguistics, which includes automatic speech recognition and processing, machine translation, information extraction, and statistical methods of linguistic analysis. Indeed, Natural Language Processing is the scientific discipline concerned with making the natural language accessible to machines, and it is a necessary means to facilitate text analytics by establishing structure in unstructured text to enable further analysis. This guide is a fundamental reference for any computational linguist, speech scientist or language data scientist. The explanations and illustrations in this short book are very intuitive and simple. The author helps you understand what natural language processing is. This is basically a theory touching on the fundamentals of natural language processing. The author then explains to you what the NLTK library is and what it does. The rest of the book is about implementing natural language processing tasks using the NLTK library in Python. Samuel Burns uses a combination of theory, Python code examples, and screenshots showing the expected outputs for various program codes.

A Beginner S Guide To Introduce Artificial Intelligence In Teaching And Learning

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Author : Muralidhar Kurni
language : en
Publisher: Springer Nature
Release Date : 2023-06-28

A Beginner S Guide To Introduce Artificial Intelligence In Teaching And Learning written by Muralidhar Kurni and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2023-06-28 with Education categories.

This book reimagines education in today’s Artificial Intelligence (AI) world and the Fourth Industrial Revolution. Artificial intelligence will drastically affect every industry and sector, and education is no exception. This book aims at how AI may impact the teaching and learning process in education. This book is designed to demystify AI for teachers and learners. This book will help improve education and support institutions in the phenomena of the emergence of AI in teaching and learning. This book presents a comprehensive study of how AI improves teaching and learning, from AI-based learning platforms to AI-assisted proctored examinations. This book provides educators, learners, and administrators on how AI makes sense in their everyday practice. Describing the application of AI in ten key aspects, this comprehensive volume prepares educational leaders, designers, researchers, and policymakers to effectively rethink the teaching and learning process and environments that students need to thrive. The readers of this book never fall behind the fast pace and promising innovations of today’s most advanced learning technology.

Natural Language Processing With Python

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Author : Dr. Bharti Salunke
language : en
Publisher: Xoffencerpublication
Release Date : 2024-11-06

Natural Language Processing With Python written by Dr. Bharti Salunke and has been published by Xoffencerpublication this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-11-06 with Computers categories.

Natural Language Processing (NLP) is a rapidly evolving field within artificial intelligence that focuses on the interaction between computers and human languages. It is concerned with the ability of machines to read, understand, and generate human language in a way that is both meaningful and contextually relevant. The integration of NLP with Python has revolutionized this domain, as Python's simplicity, versatility, and extensive libraries make it an ideal tool for developing NLP applications. This abstract delves into the essential aspects of NLP using Python, exploring key concepts, tools, and techniques that enable machines to process and analyze large amounts of natural language data. At its core, NLP involves several fundamental tasks, including tokenization, part-of-speech tagging, named entity recognition, syntactic parsing, and sentiment analysis. Python, with its rich ecosystem of libraries such as NLTK, spaCy, and transformers, provides an accessible and robust framework for tackling these tasks. Tokenization, for instance, breaks down text into smaller units such as words or sentences, which forms the foundation for many NLP applications. Part-of-speech tagging assigns grammatical labels to words, while named entity recognition identifies specific entities like names, dates, or locations within the text. Syntactic parsing helps in understanding the grammatical structure of sentences, and sentiment analysis enables machines to determine the emotional tone of a piece of text. One of the significant advancements in NLP is the application of machine learning techniques to language processing. Python’s libraries such as scikit-learn, TensorFlow, and PyTorch offer powerful tools for training models that can predict and classify language data. Deep learning models, particularly those based on neural networks, have led to major breakthroughs in tasks like machine translation, speech recognition, and question answering. Pre-trained models like BERT and GPT, implemented through Python frameworks, have set new benchmarks in NLP, allowing developers to build more sophisticated and accurate systems with minimal training data.