Read Books Online and Download eBooks, EPub, PDF, Mobi, Kindle, Text Full Free.
Understanding Nlp
Download Understanding Nlp full books in PDF, epub, and Kindle. Read online Understanding Nlp ebook anywhere anytime directly on your device. Fast Download speed and no annoying ads. We cannot guarantee that every ebooks is available!
Download or read book Understanding NLP written by Neilson Kite and published by Kogan Page Publishers. This book was released on 2011-11-03 with total page 232 pages. Available in PDF, EPUB and Kindle. Book excerpt: Have you ever wondered how some people constantly achieve success in the workplace and in everyday life? Do you wish you knew more about how they think and behave? Understanding NLP will take you a step closer to sharing their success by showing you how to achieve personal and organizational goals. By applying the principles of NLP to the working environment and describing familiar situations in jargon-free language, it provides insights into interpersonal differences, selling and negotiation, influencing skills and the use of language. Further simplifying the key concepts of NLP and with greater emphasis on the differences between rapport and relationship and how both can be better developed and managed, Understanding NLP provides even more clarity and guidance in a simple and common sense way, helping you to make radical changes in the way you approach people, life and work.
Book Synopsis Natural Language Processing in Action by : Hannes Hapke
Download or read book Natural Language Processing in Action written by Hannes Hapke and published by Simon and Schuster. This book was released on 2019-03-16 with total page 798 pages. Available in PDF, EPUB and Kindle. Book excerpt: Summary Natural Language Processing in Action is your guide to creating machines that understand human language using the power of Python with its ecosystem of packages dedicated to NLP and AI. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the Technology Recent advances in deep learning empower applications to understand text and speech with extreme accuracy. The result? Chatbots that can imitate real people, meaningful resume-to-job matches, superb predictive search, and automatically generated document summaries—all at a low cost. New techniques, along with accessible tools like Keras and TensorFlow, make professional-quality NLP easier than ever before. About the Book Natural Language Processing in Action is your guide to building machines that can read and interpret human language. In it, you'll use readily available Python packages to capture the meaning in text and react accordingly. The book expands traditional NLP approaches to include neural networks, modern deep learning algorithms, and generative techniques as you tackle real-world problems like extracting dates and names, composing text, and answering free-form questions. What's inside Some sentences in this book were written by NLP! Can you guess which ones? Working with Keras, TensorFlow, gensim, and scikit-learn Rule-based and data-based NLP Scalable pipelines About the Reader This book requires a basic understanding of deep learning and intermediate Python skills. About the Author Hobson Lane, Cole Howard, and Hannes Max Hapke are experienced NLP engineers who use these techniques in production. Table of Contents PART 1 - WORDY MACHINES Packets of thought (NLP overview) Build your vocabulary (word tokenization) Math with words (TF-IDF vectors) Finding meaning in word counts (semantic analysis) PART 2 - DEEPER LEARNING (NEURAL NETWORKS) Baby steps with neural networks (perceptrons and backpropagation) Reasoning with word vectors (Word2vec) Getting words in order with convolutional neural networks (CNNs) Loopy (recurrent) neural networks (RNNs) Improving retention with long short-term memory networks Sequence-to-sequence models and attention PART 3 - GETTING REAL (REAL-WORLD NLP CHALLENGES) Information extraction (named entity extraction and question answering) Getting chatty (dialog engines) Scaling up (optimization, parallelization, and batch processing)
Download or read book Understanding NLP written by Peter Young and published by Crown House Publishing. This book was released on 2003-09-18 with total page 241 pages. Available in PDF, EPUB and Kindle. Book excerpt: Understanding NLP opens a doorway into a more imaginative and coherent way of understanding and using NLP. This completely revised edition unites the many strands of NLP using an elegant paradigm which Peter Young calls the Six Perceptual Positions model. The book provides numerous examples of the paradigm in practice.
Book Synopsis Natural Language Processing in Artificial Intelligence by : Brojo Kishore Mishra
Download or read book Natural Language Processing in Artificial Intelligence written by Brojo Kishore Mishra and published by CRC Press. This book was released on 2020-11-01 with total page 297 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.
Book Synopsis The Complete Guide to Understanding and Using NLP by : Barbara Gibson
Download or read book The Complete Guide to Understanding and Using NLP written by Barbara Gibson and published by Atlantic Publishing Company. This book was released on 2011 with total page 290 pages. Available in PDF, EPUB and Kindle. Book excerpt: When it first developed in the 1970s by Richard Bandler and John Grinder, Neuro-Linguistic Programming or NLP was considered a great advancement in psychotherapy and was widely studied as a means by which to subjectively study language, communication and personal change. Today, it is a highly successful means by which individuals such as yourself can not only get better in touch with yourself and how you interact with the world through language and other forms of communication, but to better understand those around you and make enhanced decisions, provide advice, and boost yourself image through understanding. This book was written to assist every individual who ever wanted to become more in tune with their minds and their interactions with peers, family, and friends. You will learn what NLP is and when it was first developed along with the basic studies originally published in the early 1970s. You will learn how to start reading through and understanding maps and filters, the basics of learning, unlearning and relearning and how communication and language are the fundamental basis for essentially every action you take in life. You will learn how to control pacing and leading in communication, what perception involves and how to understand the various representational systems described by NLP. You will learn how to recognize predicates of conversation and eye accessing cues as well as how to recognize and work with various physiological states and emotional freedom. You will learn the basics of elicitation and anchors, including resource anchoring, collapsing anchoring, and future pacing. Top psychologist and therapists have been interviewed for this guide, with dozens providing information on which aspects of NLP are most effective for each individual. Using their advice as a map, you will learn how to use loops and systems and understand the different levels of learning. Everything from how language sets limits on your experience to how meta model patterns control you life will be discussed in detail to help you take control of your life through understanding of Neuro-Linguistic Programming. Atlantic Publishing is a small, independent publishing company based in Ocala, Florida. Founded over twenty years ago in the company president's garage, Atlantic Publishing has grown to become a renowned resource for non-fiction books. Today, over 450 titles are in print covering subjects such as small business, healthy living, management, finance, careers, and real estate. Atlantic Publishing prides itself on producing award winning, high-quality manuals that give readers up-to-date, pertinent information, real-world examples, and case studies with expert advice. Every book has resources, contact information, and web sites of the products or companies discussed.
Book Synopsis Practical Natural Language Processing by : Sowmya Vajjala
Download or read book Practical Natural Language Processing written by Sowmya Vajjala and published by O'Reilly Media. This book was released on 2020-06-17 with total page 455 pages. Available in PDF, EPUB and Kindle. Book excerpt: Many books and courses tackle natural language processing (NLP) problems with toy use cases and well-defined datasets. But if you want to build, iterate, and scale NLP systems in a business setting and tailor them for particular industry verticals, this is your guide. Software engineers and data scientists will learn how to navigate the maze of options available at each step of the journey. Through the course of the book, authors Sowmya Vajjala, Bodhisattwa Majumder, Anuj Gupta, and Harshit Surana will guide you through the process of building real-world NLP solutions embedded in larger product setups. You’ll learn how to adapt your solutions for different industry verticals such as healthcare, social media, and retail. With this book, you’ll: Understand the wide spectrum of problem statements, tasks, and solution approaches within NLP Implement and evaluate different NLP applications using machine learning and deep learning methods Fine-tune your NLP solution based on your business problem and industry vertical Evaluate various algorithms and approaches for NLP product tasks, datasets, and stages Produce software solutions following best practices around release, deployment, and DevOps for NLP systems Understand best practices, opportunities, and the roadmap for NLP from a business and product leader’s perspective
Book Synopsis Natural Language Processing with Python by : Steven Bird
Download or read book Natural Language Processing with Python written by Steven Bird and published by "O'Reilly Media, Inc.". This book was released on 2009-06-12 with total page 506 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book offers a highly accessible introduction to natural language processing, the field that supports a variety of language technologies, from predictive text and email filtering to automatic summarization and translation. With it, you'll learn how to write Python programs that work with large collections of unstructured text. You'll access richly annotated datasets using a comprehensive range of linguistic data structures, and you'll understand the main algorithms for analyzing the content and structure of written communication. Packed with examples and exercises, Natural Language Processing with Python will help you: Extract information from unstructured text, either to guess the topic or identify "named entities" Analyze linguistic structure in text, including parsing and semantic analysis Access popular linguistic databases, including WordNet and treebanks Integrate techniques drawn from fields as diverse as linguistics and artificial intelligence This book will help you gain practical skills in natural language processing using the Python programming language and the Natural Language Toolkit (NLTK) open source library. If you're interested in developing web applications, analyzing multilingual news sources, or documenting endangered languages -- or if you're simply curious to have a programmer's perspective on how human language works -- you'll find Natural Language Processing with Python both fascinating and immensely useful.
Book Synopsis Natural Language Processing by : Yue Zhang
Download or read book Natural Language Processing written by Yue Zhang and published by Cambridge University Press. This book was released on 2021-01-07 with total page 487 pages. Available in PDF, EPUB and Kindle. Book excerpt: This undergraduate textbook introduces essential machine learning concepts in NLP in a unified and gentle mathematical framework.
Book Synopsis Introduction to Natural Language Processing by : Jacob Eisenstein
Download or read book Introduction to Natural Language Processing written by Jacob Eisenstein and published by MIT Press. This book was released on 2019-10-01 with total page 535 pages. Available in PDF, EPUB and Kindle. Book excerpt: A survey of computational methods for understanding, generating, and manipulating human language, which offers a synthesis of classical representations and algorithms with contemporary machine learning techniques. This textbook provides a technical perspective on natural language processing—methods for building computer software that understands, generates, and manipulates human language. It emphasizes contemporary data-driven approaches, focusing on techniques from supervised and unsupervised machine learning. The first section establishes a foundation in machine learning by building a set of tools that will be used throughout the book and applying them to word-based textual analysis. The second section introduces structured representations of language, including sequences, trees, and graphs. The third section explores different approaches to the representation and analysis of linguistic meaning, ranging from formal logic to neural word embeddings. The final section offers chapter-length treatments of three transformative applications of natural language processing: information extraction, machine translation, and text generation. End-of-chapter exercises include both paper-and-pencil analysis and software implementation. The text synthesizes and distills a broad and diverse research literature, linking contemporary machine learning techniques with the field's linguistic and computational foundations. It is suitable for use in advanced undergraduate and graduate-level courses and as a reference for software engineers and data scientists. Readers should have a background in computer programming and college-level mathematics. After mastering the material presented, students will have the technical skill to build and analyze novel natural language processing systems and to understand the latest research in the field.
Book Synopsis Applied Natural Language Processing in the Enterprise by : Ankur A. Patel
Download or read book Applied Natural Language Processing in the Enterprise written by Ankur A. Patel and published by "O'Reilly Media, Inc.". This book was released on 2021-05-12 with total page 336 pages. Available in PDF, EPUB and Kindle. Book excerpt: NLP has exploded in popularity over the last few years. But while Google, Facebook, OpenAI, and others continue to release larger language models, many teams still struggle with building NLP applications that live up to the hype. This hands-on guide helps you get up to speed on the latest and most promising trends in NLP. With a basic understanding of machine learning and some Python experience, you'll learn how to build, train, and deploy models for real-world applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai guide you through the process using code and examples that highlight the best practices in modern NLP. Use state-of-the-art NLP models such as BERT and GPT-3 to solve NLP tasks such as named entity recognition, text classification, semantic search, and reading comprehension Train NLP models with performance comparable or superior to that of out-of-the-box systems Learn about Transformer architecture and modern tricks like transfer learning that have taken the NLP world by storm Become familiar with the tools of the trade, including spaCy, Hugging Face, and fast.ai Build core parts of the NLP pipeline--including tokenizers, embeddings, and language models--from scratch using Python and PyTorch Take your models out of Jupyter notebooks and learn how to deploy, monitor, and maintain them in production
Book Synopsis Natural Language Processing with AI: Understanding Language and Context by : LucieArt
Download or read book Natural Language Processing with AI: Understanding Language and Context written by LucieArt and published by Selfpublishing . This book was released on 2024-09-15 with total page 30 pages. Available in PDF, EPUB and Kindle. Book excerpt: "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.
Download or read book Essential NLP written by Amanda Vickers and published by Teach Yourself. This book was released on 2010-02-26 with total page 259 pages. Available in PDF, EPUB and Kindle. Book excerpt: This new edition of a popular guide to Neuro-Linguistic Programming draws on the latest neuroscience findings to give you a better understanding of NLP, and what it can do for you both professionally and personally. It introduces the foundations of NLP and the key principles of the technique, explaining the theory behind submodalities, the power of beliefs and values, and the importance of well-formed outcomes. Written in a jargon-free and accessible style, it will help you to use rapport, modelling and other effective strategies to achieve your goals at work - and to bring the principles of NLP to other areas in your life, making you an effective leader, partner and negotiator.
Book Synopsis Neurolinguistic Programming (NLP) by : Neil Shah
Download or read book Neurolinguistic Programming (NLP) written by Neil Shah and published by Icon Books Ltd. This book was released on 2016-02-04 with total page 158 pages. Available in PDF, EPUB and Kindle. Book excerpt: Neurolinguistic programming (NLP) involves a range of psychological techniques that help you to 'reprogram' your brain – replacing the negative attitudes that hold you back with positive thought patterns that will enable you to be more effective, confident and successful. In just under 20 simple steps, Neil Shah shows you how to use NLP to develop new habits of behaviour and thought that will help you succeed in all areas of life, from influencing others and understanding how they influence you, to achieving your goals, to managing stress.
Book Synopsis Speech & Language Processing by : Dan Jurafsky
Download or read book Speech & Language Processing written by Dan Jurafsky and published by Pearson Education India. This book was released on 2000-09 with total page 912 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Representation Learning for Natural Language Processing by : Zhiyuan Liu
Download or read book Representation Learning for Natural Language Processing written by Zhiyuan Liu and published by Springer Nature. This book was released on 2020-07-03 with total page 319 pages. Available in PDF, EPUB and Kindle. Book excerpt: This open access book provides an overview of the recent advances in representation learning theory, algorithms and applications for natural language processing (NLP). It is divided into three parts. Part I presents the representation learning techniques for multiple language entries, including words, phrases, sentences and documents. Part II then introduces the representation techniques for those objects that are closely related to NLP, including entity-based world knowledge, sememe-based linguistic knowledge, networks, and cross-modal entries. Lastly, Part III provides open resource tools for representation learning techniques, and discusses the remaining challenges and future research directions. The theories and algorithms of representation learning presented can also benefit other related domains such as machine learning, social network analysis, semantic Web, information retrieval, data mining and computational biology. This book is intended for advanced undergraduate and graduate students, post-doctoral fellows, researchers, lecturers, and industrial engineers, as well as anyone interested in representation learning and natural language processing.
Book Synopsis Foundations of Statistical Natural Language Processing by : Christopher Manning
Download or read book Foundations of Statistical Natural Language Processing written by Christopher Manning and published by MIT Press. This book was released on 1999-05-28 with total page 719 pages. Available in PDF, EPUB and Kindle. Book excerpt: Statistical approaches to processing natural language text have become dominant in recent years. This foundational text is the first comprehensive introduction to statistical natural language processing (NLP) to appear. The book contains all the theory and algorithms needed for building NLP tools. It provides broad but rigorous coverage of mathematical and linguistic foundations, as well as detailed discussion of statistical methods, allowing students and researchers to construct their own implementations. The book covers collocation finding, word sense disambiguation, probabilistic parsing, information retrieval, and other applications.
Book Synopsis Natural Language Processing with Flair by : Tadej Magajna
Download or read book Natural Language Processing with Flair written by Tadej Magajna and published by Packt Publishing Ltd. This book was released on 2022-04-29 with total page 200 pages. Available in PDF, EPUB and Kindle. Book excerpt: Learn how to solve practical NLP problems with the Flair Python framework, train sequence labeling models, work with text classifiers and word embeddings, and much more through hands-on practical exercises Key FeaturesBacked by the community and written by an NLP expertGet an understanding of basic NLP problems and terminologySolve real-world NLP problems with Flair with the help of practical hands-on exercisesBook Description Flair is an easy-to-understand natural language processing (NLP) framework designed to facilitate training and distribution of state-of-the-art NLP models for named entity recognition, part-of-speech tagging, and text classification. Flair is also a text embedding library for combining different types of embeddings, such as document embeddings, Transformer embeddings, and the proposed Flair embeddings. Natural Language Processing with Flair takes a hands-on approach to explaining and solving real-world NLP problems. You'll begin by installing Flair and learning about the basic NLP concepts and terminology. You will explore Flair's extensive features, such as sequence tagging, text classification, and word embeddings, through practical exercises. As you advance, you will train your own sequence labeling and text classification models and learn how to use hyperparameter tuning in order to choose the right training parameters. You will learn about the idea behind one-shot and few-shot learning through a novel text classification technique TARS. Finally, you will solve several real-world NLP problems through hands-on exercises, as well as learn how to deploy Flair models to production. By the end of this Flair book, you'll have developed a thorough understanding of typical NLP problems and you'll be able to solve them with Flair. What you will learnGain an understanding of core NLP terminology and conceptsGet to grips with the capabilities of the Flair NLP frameworkFind out how to use Flair's state-of-the-art pre-built modelsBuild custom sequence labeling models, embeddings, and classifiersLearn about a novel text classification technique called TARSDiscover how to build applications with Flair and how to deploy them to productionWho this book is for This Flair NLP book is for anyone who wants to learn about NLP through one of the most beginner-friendly, yet powerful Python NLP libraries out there. Software engineering students, developers, data scientists, and anyone who is transitioning into NLP and is interested in learning about practical approaches to solving problems with Flair will find this book useful. The book, however, is not recommended for readers aiming to get an in-depth theoretical understanding of the mathematics behind NLP. Beginner-level knowledge of Python programming is required to get the most out of this book.
