Understanding Nlp
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Understanding Nlp
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Author : Peter Young
language : en
Publisher: Crown House Publishing
Release Date : 2003-09-18
Understanding Nlp written by Peter Young and has been published by Crown House Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2003-09-18 with Psychology categories.
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.
Understanding Nlp Principles And Practice
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Author : Peter Young
language : en
Publisher:
Release Date : 2004
Understanding Nlp Principles And Practice written by Peter Young and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004 with Neurolinguistic programming categories.
Understanding Nlp
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Author : Neilson Kite
language : en
Publisher: Kogan Page Publishers
Release Date : 2011-11-03
Understanding Nlp written by Neilson Kite and has been published by Kogan Page Publishers this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-11-03 with Business & Economics categories.
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.
Natural Language Processing With Flair
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Author : Tadej Magajna
language : en
Publisher: Packt Publishing Ltd
Release Date : 2022-04-29
Natural Language Processing With Flair written by Tadej Magajna 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 2022-04-29 with Computers categories.
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.
Understanding Nlp
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Author : Peter Young
language : en
Publisher: Crown House Publishing
Release Date : 2001
Understanding Nlp written by Peter Young and has been published by Crown House Publishing this book supported file pdf, txt, epub, kindle and other format this book has been release on 2001 with Neurolinguistic programming categories.
Many NLP Practitioners believe that only techniques matter. Their books and trainings present the student with a mass of useful facts, but with little integration of the material - and this is at a time when we are increasingly overwhelmed by more and more information, and have less and less time to digest it. As a result we are piling up and compartmentalising the data we receive, but failing to recognise its underlying principles. Understanding NLP overcomes this problem by providing a truly coherent model of NLP. Integrating into its structure tools from other change systems, and from drama, story telling and mythology, it utilises the pattern of human learning to produce a completely systematic way of investigating life. In creating a paradigm for understanding change, it examines aspects such as: Rapport; the Meta Mirror; the Four Realities Model; Bateson's Levels of Learning; the Satir Categories; Outcome Setting; the NLP Language Model; Modal Operators; Beliefs; Modelling. Exploring four archetypal worldviews and three basic theoretical models, Understanding NLP is an essential resource for both NLP beginners and Practitioners, presenting a wealth of practical NLP exercises and applications while revealing their underlying significance. Paperback 360 pages.
Natural Language Processing In Action
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Author : Hannes Hapke
language : en
Publisher: Simon and Schuster
Release Date : 2019-03-16
Natural Language Processing In Action written by Hannes Hapke 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 2019-03-16 with Computers categories.
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)
The Complete Guide To Understanding And Using Nlp
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Author : Barbara Gibson
language : en
Publisher: Atlantic Publishing Company
Release Date : 2011
The Complete Guide To Understanding And Using Nlp written by Barbara Gibson and has been published by Atlantic Publishing Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011 with Language Arts & Disciplines categories.
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.
Practical Natural Language Processing
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Author : Sowmya Vajjala
language : en
Publisher: O'Reilly Media
Release Date : 2020-06-17
Practical Natural Language Processing written by Sowmya Vajjala and has been published by O'Reilly Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-17 with Computers categories.
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
Essential Nlp
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Author : Amanda Vickers
language : en
Publisher: Hachette UK
Release Date : 2010-02-26
Essential Nlp written by Amanda Vickers and has been published by Hachette UK this book supported file pdf, txt, epub, kindle and other format this book has been release on 2010-02-26 with Psychology categories.
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.
Natural Language Understanding With Python
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Author : Deborah A. Dahl
language : en
Publisher: Packt Publishing Ltd
Release Date : 2023-06-30
Natural Language Understanding With Python written by Deborah A. Dahl 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 2023-06-30 with Computers categories.
Build advanced NLU systems by utilizing NLP libraries such as NLTK, SpaCy, BERT, and OpenAI; ML libraries like Keras, scikit-learn, pandas, TensorFlow, and NumPy, along with visualization libraries such as Matplotlib and Seaborn. Purchase of the print Kindle book includes a free PDF eBook Key Features Master NLU concepts from basic text processing to advanced deep learning techniques Explore practical NLU applications like chatbots, sentiment analysis, and language translation Gain a deeper understanding of large language models like ChatGPT Book DescriptionNatural Language Understanding facilitates the organization and structuring of language allowing computer systems to effectively process textual information for various practical applications. Natural Language Understanding with Python will help you explore practical techniques for harnessing NLU to create diverse applications. with step-by-step explanations of essential concepts and practical examples, you’ll begin by learning about NLU and its applications. You’ll then explore a wide range of current NLU techniques and their most appropriate use-case. In the process, you’ll be introduced to the most useful Python NLU libraries. Not only will you learn the basics of NLU, you’ll also discover practical issues such as acquiring data, evaluating systems, and deploying NLU applications along with their solutions. The book is a comprehensive guide that’ll help you explore techniques and resources that can be used for different applications in the future. By the end of this book, you’ll be well-versed with the concepts of natural language understanding, deep learning, and large language models (LLMs) for building various AI-based applications.What you will learn Explore the uses and applications of different NLP techniques Understand practical data acquisition and system evaluation workflows Build cutting-edge and practical NLP applications to solve problems Master NLP development from selecting an application to deployment Optimize NLP application maintenance after deployment Build a strong foundation in neural networks and deep learning for NLU Who this book is for This book is for python developers, computational linguists, linguists, data scientists, NLP developers, conversational AI developers, and students looking to learn about natural language understanding (NLU) and applying natural language processing (NLP) technology to real problems. Anyone interested in addressing natural language problems will find this book useful. Working knowledge in Python is a must.