NLP

NLP PDF Author: Tom Hoobyar
Publisher: Harper Collins
ISBN: 0062083627
Category : Self-Help
Languages : en
Pages : 488

Book Description
By the team behind the bestselling NLP: The New Technology of Achievement comes an essential new guide to NLP techniques—for self-development and influencing others—in a focused, step-by-step handbook. NLP (Neuro-Linguistic Programming) has already helped millions of people overcome fears, increase confidence, enrich relationships, and achieve greater success. Now, from the company and training team behind NLP: The New Technology of Achievement, one of the bestselling NLP books of all time, comes NLP: The Essential Guide to Neuro-Linguistic Programming \. Written by three NLP Master Practitioners and training coaches, including the president of NLP Comprehensive, with an introduction from the President of NLP Comprehensive, NLP: The Essential Guide to Neuro-Linguistic Programming guides users to peak performance in business and life, and gets specific results. In twelve illuminating sections, NLP: The Essential Guide to Neuro-Linguistic Programming leads you through dozens of “discoveries”—revelations of NLP practice that enable you to explore your own personal thinking patterns, to manage them—and to transform them. Divided into two categories, “All About You” and “All About the Other Guy,” these strategies offer a personal and interpersonal program that frees you to become better at managing your feelings instead of being dominated by them, managing your motivations, being less judgmental, more productive, more confident, more flexible, more persuasive, liked, and respected. Chapters on “Personal Remodeling” (Discovery 9: No inner enemy) and “Secrets of Making Your Point” (Discovery 31: Convey understanding and safety without talking), enhance creativity, collaboration, cooperation, and communication. Through “mind reading” techniques—non-verbal communication, and “hearing what’s missing”—learn the secrets of relating with others, understanding how they are thinking—and influencing them. A streamlined all-purpose guide for both newcomers and NLP veterans, NLP: The Essential Guide to Neuro-Linguistic Programming is the new all-in-one, eye-opening blueprint for your own ultimate success.

Essential NLP

Essential NLP PDF Author: Amanda Vickers
Publisher: Teach Yourself
ISBN: 1444129252
Category : Psychology
Languages : en
Pages : 259

Book Description
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.

Getting Started with Natural Language Processing

Getting Started with Natural Language Processing PDF Author: Ekaterina Kochmar
Publisher: Simon and Schuster
ISBN: 1638350922
Category : Computers
Languages : en
Pages : 454

Book Description
Hit the ground running with this in-depth introduction to the NLP skills and techniques that allow your computers to speak human. In Getting Started with Natural Language Processing you’ll learn about: Fundamental concepts and algorithms of NLP Useful Python libraries for NLP Building a search algorithm Extracting information from raw text Predicting sentiment of an input text Author profiling Topic labeling Named entity recognition Getting Started with Natural Language Processing is an enjoyable and understandable guide that helps you engineer your first NLP algorithms. Your tutor is Dr. Ekaterina Kochmar, lecturer at the University of Bath, who has helped thousands of students take their first steps with NLP. Full of Python code and hands-on projects, each chapter provides a concrete example with practical techniques that you can put into practice right away. If you’re a beginner to NLP and want to upgrade your applications with functions and features like information extraction, user profiling, and automatic topic labeling, this is the book for you. About the technology From smart speakers to customer service chatbots, apps that understand text and speech are everywhere. Natural language processing, or NLP, is the key to this powerful form of human/computer interaction. And a new generation of tools and techniques make it easier than ever to get started with NLP! About the book Getting Started with Natural Language Processing teaches you how to upgrade user-facing applications with text and speech-based features. From the accessible explanations and hands-on examples in this book you’ll learn how to apply NLP to sentiment analysis, user profiling, and much more. As you go, each new project builds on what you’ve previously learned, introducing new concepts and skills. Handy diagrams and intuitive Python code samples make it easy to get started—even if you have no background in machine learning! What's inside Fundamental concepts and algorithms of NLP Extracting information from raw text Useful Python libraries Topic labeling Building a search algorithm About the reader You’ll need basic Python skills. No experience with NLP required. About the author Ekaterina Kochmar is a lecturer at the Department of Computer Science of the University of Bath, where she is part of the AI research group. Table of Contents 1 Introduction 2 Your first NLP example 3 Introduction to information search 4 Information extraction 5 Author profiling as a machine-learning task 6 Linguistic feature engineering for author profiling 7 Your first sentiment analyzer using sentiment lexicons 8 Sentiment analysis with a data-driven approach 9 Topic analysis 10 Topic modeling 11 Named-entity recognition

Linguistic Fundamentals for Natural Language Processing

Linguistic Fundamentals for Natural Language Processing PDF Author: Emily M. Bender
Publisher: Morgan & Claypool Publishers
ISBN: 1627050124
Category : Computers
Languages : en
Pages : 186

Book Description
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

NLP For Beginners

NLP For Beginners PDF Author: Shlomo Vaknin
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 222

Book Description
If you're only beginning to explore NLP, this book will give you a solid foundation for the subject, and then some. You will explore all the essentials in short and practical learning modules, such as: - What is NLP? VAK? Rep system? Anchor? Framing? Re-framing?! Eye AccessingCues? Modalities What Sub-Modalities? Presuppositions? etc.- Behavioral & Symbolic mirroring- How Will I Actually Create Rapport?- How Do You Chain Anchors? (in order to change a behavior)- The key elements of modeling, and: - Once You Have a Model, What Do You Do With It?- What is Conversational Hypnosis? How to use it?-... and much more. For a more in-depth look into NLP concepts, read the books NLP: Start Here and The Big Book of NLP, Expanded.

Introduction to Natural Language Processing

Introduction to Natural Language Processing PDF Author: Jacob Eisenstein
Publisher: MIT Press
ISBN: 0262042843
Category : Computers
Languages : en
Pages : 535

Book Description
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.

The Ultimate Introduction to NLP: How to build a successful life

The Ultimate Introduction to NLP: How to build a successful life PDF Author: Richard Bandler
Publisher: HarperCollins UK
ISBN: 0007497423
Category : Self-Help
Languages : en
Pages : 160

Book Description
Richard Bandler, co-creator of NLP and the man who inspired Paul McKenna to greatness, collaborates with Alessio Roberti and Owen Fitzpatrick to reveal how to unleash your true potential and transform your life.

Teach Yourself Nlp

Teach Yourself Nlp PDF Author: Steve Bavister
Publisher: Hodder Education
ISBN: 9780340812570
Category : Neurolinguistic programming
Languages : en
Pages : 229

Book Description
Are you new to Neuro Linguistic Programming? Do you want a better understanding of what makes you and others tick? Are you seeking clearer goals, more effective communication and better relationships? This book offers straightforward access to understanding LP - the study of subjective experience - and helps you to put the ideas and techniques into practice in your personal and professional life. Exercises, activities, case studies, anecdotes and quizzes are used to bring each area to life. Business-related applications should be evident throughout, and the book is relevant for anyone seeking a solid grounding in NLP, covering NLP practioner level training and beyond.

The Origins Of Neuro Linguistic Programming

The Origins Of Neuro Linguistic Programming PDF Author: John Grinder
Publisher: Crown House Publishing
ISBN: 1845908643
Category : Self-Help
Languages : en
Pages : 336

Book Description
The Origins of NLP brings together the recollections and thoughts of some of the main protagonists from the very early days of NLP. In 1971 Richard Bandler and Frank Pucelik were students at Kresege College at the University of California Santa Cruz. They had a strong mutual interest in Gestalt Therapy, Frank because of his traumatic time in Vietnam and because he had been working with some disaffected and drug-addicted kids, and Richard because he had been working with Science and Behavior Books on transcribing and editing Fritz Perls' seminal work, The Gestalt Approach and Eyewitness to Therapy. They started a local Gestalt group and ran 2-3 sessions a week collaborating and experimenting with the language of therapy. They started achieving some brilliant results but were having problems transferring their skills to others and so Richard invited one of their college professors, John Grinder, to observe what they were doing in order that he would, hopefully, be able to deconstruct what they were doing that was so effective. John was a professor of Linguistics and was instantly impressed with the work that they were doing. He was able to add more structure and in due course the three of them formalised what is now known as the Meta Model. NLP, or Meta as it was known then, was born.
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