Natural Language Processing Fundamentals
DOWNLOAD
Download Natural Language Processing Fundamentals PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Natural Language Processing Fundamentals book now. This website allows unlimited access to, at the time of writing, more than 1.5 million titles, including hundreds of thousands of titles in various foreign languages. If the content not found or just blank you must refresh this page
Natural Language Processing Fundamentals
DOWNLOAD
Author : Sohom Ghosh
language : en
Publisher: Packt Publishing Ltd
Release Date : 2019-03-30
Natural Language Processing Fundamentals written by Sohom Ghosh and has been published by Packt Publishing Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-03-30 with Computers categories.
Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key FeaturesAssimilate key NLP concepts and terminologies Explore popular NLP tools and techniquesGain practical experience using NLP in application codeBook Description If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language. What you will learnObtain, verify, and clean data before transforming it into a correct format for usePerform data analysis and machine learning tasks using PythonUnderstand the basics of computational linguisticsBuild models for general natural language processing tasksEvaluate the performance of a model with the right metricsVisualize, quantify, and perform exploratory analysis from any text dataWho this book is for Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.
Mastering Natural Language Processing Using Python
DOWNLOAD
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.
Introduction To Natural Language Processing With Python
DOWNLOAD
Author : Linsel Tadashi
language : en
Publisher: Independently Published
Release Date : 2025-03-31
Introduction To Natural Language Processing With Python written by Linsel Tadashi and has been published by Independently Published this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-03-31 with Computers categories.
Dive into the world of Natural Language Processing (NLP) with Introduction to Natural Language Processing with Python. This comprehensive guide is perfect for beginners who want to learn how to process and analyze human language using Python. Whether you're a data scientist, a software developer, or simply curious about the power of NLP, this book provides a step-by-step approach to mastering key NLP techniques using popular libraries like NLTK and SpaCy. NLP is at the core of applications like chatbots, sentiment analysis, language translation, and more. By learning how to apply NLP techniques in Python, you'll be able to unlock the potential of working with text data, performing text analysis, and building intelligent systems that can understand and generate human language. Inside, you'll learn: The fundamentals of NLP and how it fits into machine learning and AI How to install and use the NLTK (Natural Language Toolkit) and SpaCy libraries Techniques for tokenization, stemming, and lemmatization How to process text data for sentiment analysis, classification, and information extraction Working with word embeddings and vectorization methods like TF-IDF Building and training NLP models for tasks like text classification and language generation Real-world examples and projects, such as building a text-based chatbot By the end of this book, you'll have a strong understanding of NLP concepts and hands-on experience using Python to process and analyze text data. Whether you want to improve your data science skill set or develop language-processing applications, Introduction to Natural Language Processing with Python will give you the tools you need to get started. Key Features: Learn NLP from the basics with easy-to-follow instructions and examples Master popular Python libraries like NLTK and SpaCy for NLP tasks Step-by-step guidance on text processing, classification, and sentiment analysis Real-world projects and applications of NLP techniques Best practices for working with text data in Python Start your NLP journey today with Introduction to Natural Language Processing with Python and unlock the power of human language data!
Data Science And Machine Learning Series
DOWNLOAD
Author : Zacharias Voulgaris
language : en
Publisher:
Release Date : 2018
Data Science And Machine Learning Series written by Zacharias Voulgaris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
Build a foundation on Natural Language Processing (NLP) and learn about both basic and advanced NLP methods. Learn how TF-IDF is used, text data is cleaned, how you can break the core parts of a sentence down using NLP analysis, and how predictive analytics and AI align with NLP. In addition, NLP packages in Julia and Python will be shared. Here is a link to all of Zacharias Voulgaris' machine learning, data science, and artificial intelligence (AI) videos.
Introduction To Natural Language Processing
DOWNLOAD
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.
Natural Language Processing Crash Course For Beginners
DOWNLOAD
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.
Deep Learning For Natural Language Processing
DOWNLOAD
Author : Palash Goyal
language : en
Publisher: Apress
Release Date : 2018-06-26
Deep Learning For Natural Language Processing written by Palash Goyal and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-06-26 with Computers categories.
Discover the concepts of deep learning used for natural language processing (NLP), with full-fledged examples of neural network models such as recurrent neural networks, long short-term memory networks, and sequence-2-sequence models. You’ll start by covering the mathematical prerequisites and the fundamentals of deep learning and NLP with practical examples. The first three chapters of the book cover the basics of NLP, starting with word-vector representation before moving onto advanced algorithms. The final chapters focus entirely on implementation, and deal with sophisticated architectures such as RNN, LSTM, and Seq2seq, using Python tools: TensorFlow, and Keras. Deep Learning for Natural Language Processing follows a progressive approach and combines all the knowledge you have gained to build a question-answer chatbot system. This book is a good starting point for people who want to get started in deep learning for NLP. All the code presented in the book will be available in the form of IPython notebooks and scripts, which allow you to try out the examples and extend them in interesting ways. What You Will Learn Gain the fundamentals of deep learning and its mathematical prerequisites Discover deep learning frameworks in Python Develop a chatbot Implement a research paper on sentiment classification Who This Book Is For Software developers who are curious to try out deep learning with NLP.
Natural Language Processing Nlp Fundamentals
DOWNLOAD
Author : Zacharias Voulgaris
language : en
Publisher:
Release Date : 2018
Natural Language Processing Nlp Fundamentals written by Zacharias Voulgaris and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018 with categories.
"Build a foundation on Natural Language Processing (NLP) and learn about both basic and advanced NLP methods. Learn how TF-IDF is used, text data is cleaned, how you can break the core parts of a sentence down using NLP analysis, and how predictive analytics and AI align with NLP. In addition, NLP packages in Julia and Python will be shared."--Resource description page.
Natural Language Processing
DOWNLOAD
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.
Linguistic Fundamentals For Natural Language Processing
DOWNLOAD
Author : Emily M. Bender
language : en
Publisher: Springer Nature
Release Date : 2022-05-31
Linguistic Fundamentals For Natural Language Processing written by Emily M. Bender and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2022-05-31 with Computers categories.
Many NLP tasks have at their core a subtask of extracting the dependencies—who did what to whom—from natural language sentences. This task can be understood as the inverse of the problem solved in different ways by diverse human languages, namely, how to indicate the relationship between different parts of a sentence. Understanding how languages solve the problem can be extremely useful in both feature design and error analysis in the application of machine learning to NLP. Likewise, understanding cross-linguistic variation can be important for the design of MT systems and other multilingual applications. The purpose of this book is to present in a succinct and accessible fashion information about the morphological and syntactic structure of human languages that can be useful in creating more linguistically sophisticated, more language-independent, and thus more successful NLP systems. Table of Contents: Acknowledgments / Introduction/motivation / Morphology: Introduction / Morphophonology / Morphosyntax / Syntax: Introduction / Parts of speech / Heads, arguments, and adjuncts / Argument types and grammatical functions / Mismatches between syntactic position and semantic roles / Resources / Bibliography / Author's Biography / General Index / Index of Languages