Natural Language Processing In Ai

DOWNLOAD

Download Natural Language Processing In Ai PDF/ePub or read online books in Mobi eBooks. Click Download or Read Online button to get Natural Language Processing In Ai 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

DOWNLOAD
Author : Ela Kumar
language : en
Publisher: I. K. International Pvt Ltd
Release Date : 2013-12-30

Natural Language Processing written by Ela Kumar and has been published by I. K. International Pvt Ltd this book supported file pdf, txt, epub, kindle and other format this book has been release on 2013-12-30 with Computers categories.

Covers all aspects of the area of linguistic analysis and the computational systems that have been developed to perform the language analysis. The book is primarily meant for post graduate and undergraduate technical courses.

Artificial Intelligence Expert Systems Computer Vision And Natural Language Processing

DOWNLOAD
Author : William B. Gevarter
language : en
Publisher: William Andrew
Release Date : 1984

Artificial Intelligence Expert Systems Computer Vision And Natural Language Processing written by William B. Gevarter and has been published by William Andrew this book supported file pdf, txt, epub, kindle and other format this book has been release on 1984 with Computers categories.

Natural Language Processing With Aws Ai Services

DOWNLOAD
Author : Mona M
language : en
Publisher: Packt Publishing Ltd
Release Date : 2021-11-26

Natural Language Processing With Aws Ai Services written by Mona M 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 2021-11-26 with Computers categories.

Work through interesting real-life business use cases to uncover valuable insights from unstructured text using AWS AI services Key FeaturesGet to grips with AWS AI services for NLP and find out how to use them to gain strategic insightsRun Python code to use Amazon Textract and Amazon Comprehend to accelerate business outcomesUnderstand how you can integrate human-in-the-loop for custom NLP use cases with Amazon A2IBook Description Natural language processing (NLP) uses machine learning to extract information from unstructured data. This book will help you to move quickly from business questions to high-performance models in production. To start with, you'll understand the importance of NLP in today's business applications and learn the features of Amazon Comprehend and Amazon Textract to build NLP models using Python and Jupyter Notebooks. The book then shows you how to integrate AI in applications for accelerating business outcomes with just a few lines of code. Throughout the book, you'll cover use cases such as smart text search, setting up compliance and controls when processing confidential documents, real-time text analytics, and much more to understand various NLP scenarios. You'll deploy and monitor scalable NLP models in production for real-time and batch requirements. As you advance, you'll explore strategies for including humans in the loop for different purposes in a document processing workflow. Moreover, you'll learn best practices for auto-scaling your NLP inference for enterprise traffic. Whether you're new to ML or an experienced practitioner, by the end of this NLP book, you'll have the confidence to use AWS AI services to build powerful NLP applications. What you will learnAutomate various NLP workflows on AWS to accelerate business outcomesUse Amazon Textract for text, tables, and handwriting recognition from images and PDF filesGain insights from unstructured text in the form of sentiment analysis, topic modeling, and more using Amazon ComprehendSet up end-to-end document processing pipelines to understand the role of humans in the loopDevelop NLP-based intelligent search solutions with just a few lines of codeCreate both real-time and batch document processing pipelines using PythonWho this book is for If you're an NLP developer or data scientist looking to get started with AWS AI services to implement various NLP scenarios quickly, this book is for you. It will show you how easy it is to integrate AI in applications with just a few lines of code. A basic understanding of machine learning (ML) concepts is necessary to understand the concepts covered. Experience with Jupyter notebooks and Python will be helpful.

Natural Language Processing In Artificial Intelligence

DOWNLOAD
Author : Brojo Kishore Mishra
language : en
Publisher: CRC Press
Release Date : 2020-11-01

Natural Language Processing In Artificial Intelligence written by Brojo Kishore Mishra and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-11-01 with Science categories.

This volume focuses on natural language processing, artificial intelligence, and allied areas. Natural language processing enables communication between people and computers and automatic translation to facilitate easy interaction with others around the world. This book discusses theoretical work and advanced applications, approaches, and techniques for computational models of information and how it is presented by language (artificial, human, or natural) in other ways. It looks at intelligent natural language processing and related models of thought, mental states, reasoning, and other cognitive processes. It explores the difficult problems and challenges related to partiality, underspecification, and context-dependency, which are signature features of information in nature and natural languages. Key features: Addresses the functional frameworks and workflow that are trending in NLP and AI Looks at the latest technologies and the major challenges, issues, and advances in NLP and AI Explores an intelligent field monitoring and automated system through AI with NLP and its implications for the real world Discusses data acquisition and presents a real-time case study with illustrations related to data-intensive technologies in AI and NLP.

Natural Language Processing With Ai Understanding Language And Context

DOWNLOAD
Author : LucieArt
language : en
Publisher: Selfpublishing
Release Date : 2024-09-15

Natural Language Processing With Ai Understanding Language And Context written by LucieArt and has been published by Selfpublishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-15 with Computers categories.

"Natural Language Processing with AI: Understanding Language and Context" provides a comprehensive exploration of how artificial intelligence interprets and processes human language. This practical guide demystifies the principles of Natural Language Processing (NLP), explaining how AI technologies are transforming communication, text analysis, and interaction in today’s digital age. Dive into essential NLP techniques and algorithms, learn about real-world applications across various industries, and understand the challenges and limitations faced by modern NLP systems. This book covers future directions, practical implementation strategies, and case studies to help you harness NLP technologies effectively. Perfect for beginners and professionals alike, this guide offers clear explanations and actionable insights to leverage NLP in business and research. Discover how AI can enhance language understanding, automate tasks, and drive innovation.

Natural Language Processing In Ai

DOWNLOAD
Author : Balasubramani Murugesan
language : en
Publisher: Xoffencer international book publication house
Release Date : 2024-09-06

Natural Language Processing In Ai written by Balasubramani Murugesan and has been published by Xoffencer international book publication house this book supported file pdf, txt, epub, kindle and other format this book has been release on 2024-09-06 with Computers categories.

It is not the words themselves that provide the essential power of language; rather, it is the spaces between the words, as well as the order and combination of other words. At times, meaning may be found under the surface of the words themselves, in the intention and feeling that led to the formation of that specific combination of words. One of the most important skills for an empathic and emotionally intelligent listener or reader of natural language, whether it be human or computer, is the ability to comprehend the meaning that lies underneath the actual words.1. As is the case with concepts and thoughts, the creation of depth, information, and complexity is achieved via the links that exist between words. Once you have a firm grip on the meaning of individual words and a number of ingenious ways to tie them together, the next question is how you can dig underneath them and evaluate the meaning of a combination of words using something that is more flexible than counting the number of n-gram matches possible? How is it possible to extract meaning and emotion from a string of words, which is referred to as latent semantic information, so that you can use it for something? What's even more ambitious is the question of how to bestow that concealed meaning onto language that was produced by a calculating machine that is cold. Even just the term "machine-generated text" evokes a sense of fear since it conjures up images of a hollow, tinny voice releasing a broken list of words. The argument may be conveyed by machines, but they are not capable of much more than that. Where are we lacking? The manner in which a person communicates, the flow of their speech, and the personality that you anticipate from them in even the briefest of exchanges. The intricacies that are there may be found between the words, underneath the words, and in the patterns that are produced by the words themselves. When a person communicates, they will begin to establish patterns in both their voice and their written words. The really exceptional authors and public presenters will intentionally exploit these patterns, and they will do so to great advantage.

Natural Language Processing In Artificial Intelligence Nlpinai 2020

DOWNLOAD
Author : Roussanka Loukanova
language : en
Publisher: Springer Nature
Release Date : 2021-03-25

Natural Language Processing In Artificial Intelligence Nlpinai 2020 written by Roussanka Loukanova and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2021-03-25 with Technology & Engineering categories.

This book covers theoretical work, applications, approaches, and techniques for computational models of information and its presentation by language (artificial, human, or natural in other ways). Computational and technological developments that incorporate natural language are proliferating. Adequate coverage encounters difficult problems related to ambiguities and dependency on context and agents (humans or computational systems). The goal is to promote computational systems of intelligent natural language processing and related models of computation, language, thought, mental states, reasoning, and other cognitive processes.

Natural Language Processing Recipes

DOWNLOAD
Author : Akshay Kulkarni
language : en
Publisher: Apress
Release Date : 2019-01-29

Natural Language Processing Recipes written by Akshay Kulkarni and has been published by Apress this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-01-29 with Computers categories.

Implement natural language processing applications with Python using a problem-solution approach. This book has numerous coding exercises that will help you to quickly deploy natural language processing techniques, such as text classification, parts of speech identification, topic modeling, text summarization, text generation, entity extraction, and sentiment analysis. Natural Language Processing Recipes starts by offering solutions for cleaning and preprocessing text data and ways to analyze it with advanced algorithms. You’ll see practical applications of the semantic as well as syntactic analysis of text, as well as complex natural language processing approaches that involve text normalization, advanced preprocessing, POS tagging, and sentiment analysis. You will also learn various applications of machine learning and deep learning in natural language processing. By using the recipes in thisbook, you will have a toolbox of solutions to apply to your own projects in the real world, making your development time quicker and more efficient. What You Will Learn Apply NLP techniques using Python libraries such as NLTK, TextBlob, spaCy, Stanford CoreNLP, and many more Implement the concepts of information retrieval, text summarization, sentiment analysis, and other advanced natural language processing techniques. Identify machine learning and deep learning techniques for natural language processing and natural language generation problems Who This Book Is ForData scientists who want to refresh and learn various concepts of natural language processing through coding exercises.

Natural Language Processing In Action Second Edition

DOWNLOAD
Author : Hobson Lane
language : en
Publisher: Simon and Schuster
Release Date : 2025-02-25

Natural Language Processing In Action Second Edition written by Hobson Lane and has been published by Simon and Schuster this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-02-25 with Computers categories.

Develop your NLP skills from scratch, with an open source toolbox of Python packages, Transformers, Hugging Face, vector databases, and your own Large Language Models. Natural Language Processing in Action, Second Edition has helped thousands of data scientists build machines that understand human language. In this new and revised edition, you’ll discover state-of-the art Natural Language Processing (NLP) models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. You’ll create NLP tools that can detect fake news, filter spam, deliver exceptional search results and even build truthfulness and reasoning into Large Language Models (LLMs). In Natural Language Processing in Action, Second Edition you will learn how to: • Process, analyze, understand, and generate natural language text • Build production-quality NLP pipelines with spaCy • Build neural networks for NLP using Pytorch • BERT and GPT transformers for English composition, writing code, and even organizing your thoughts • Create chatbots and other conversational AI agents In this new and revised edition, you’ll discover state-of-the art NLP models like BERT and HuggingFace transformers, popular open-source frameworks for chatbots, and more. Plus, you’ll discover vital skills and techniques for optimizing LLMs including conversational design, and automating the “trial and error” of LLM interactions for effective and accurate results. About the technology From nearly human chatbots to ultra-personalized business reports to AI-generated email, news stories, and novels, natural language processing (NLP) has never been more powerful! Groundbreaking advances in deep learning have made high-quality open source models and powerful NLP tools like spaCy and PyTorch widely available and ready for production applications. This book is your entrance ticket—and backstage pass—into the next generation of natural language processing. About the book Natural Language Processing in Action, Second Edition introduces the foundational technologies and state-of-the-art tools you’ll need to write and publish NLP applications. You learn how to create custom models for search, translation, writing assistants, and more, without relying on big commercial foundation models. This fully updated second edition includes coverage of BERT, Hugging Face transformers, fine-tuning large language models, and more. What's inside • NLP pipelines with spaCy • Neural networks with PyTorch • BERT and GPT transformers • Conversational design for chatbots About the reader For intermediate Python programmers familiar with deep learning basics. About the author Hobson Lane is a data scientist and machine learning engineer with over twenty years of experience building autonomous systems and NLP pipelines. Maria Dyshel is a social entrepreneur and artificial intelligence expert, and the CEO and cofounder of Tangible AI. Cole Howard and Hannes Max Hapke were co-authors of the first edition.

Artificial Intelligence For Natural Language Processing

DOWNLOAD
Author : Dhanalekshmi Prasad Yedurkar
language : en
Publisher: CRC Press
Release Date : 2025-09-16

Artificial Intelligence For Natural Language Processing written by Dhanalekshmi Prasad Yedurkar and has been published by CRC Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2025-09-16 with Computers categories.

Artificial Intelligence for Natural Language Processing offers a comprehensive exploration of how advanced computational methods are transforming the way machines understand human language. This book delves into the core principles of Natural Language Processing through an engaging progression – from fundamental word‐level analysis to complex discourse and pragmatic analysis – integrating linguistic theory with cutting‐edge Artificial Intelligence methodologies. It provides a robust framework for both the theoretical underpinnings and practical applications of NLP, ensuring that readers gain a clear understanding of how computers can effectively process and interpret human language. What sets this book apart is its methodical structure that guides the reader through each level of language analysis, building upon earlier chapters to culminate in a deep integration of artificial intelligence within NLP systems. The detailed explanations and examples are designed to bridge the gap between abstract theory and real‐world application, making it an invaluable resource for anyone looking to grasp the nuances of language processing. FEATURES Provides a step‐by‐step progression from word‐level analysis to syntactic, semantic, and pragmatic processing Offers in‐depth discussions on word sense disambiguation with illustrative examples Presents an exploration of discourse integration and contextual meaning essential for modern NLP models Delivers comprehensive coverage of AI applications in NLP, highlighting state‐of‐the‐art computational techniques Suggests clear, accessible explanations suitable for both beginners and advanced practitioners This book is ideal for graduate students, researchers, and professionals in computer science, linguistics, and artificial intelligence. Whether you are a seasoned researcher looking to deepen your understanding or a newcomer eager to explore the field, Artificial Intelligence for Natural Language Processing serves as both an essential academic resource and a practical guide for navigating the evolving landscape of language technology.