Seven Practical Applications of Nlp

Seven Practical Applications of Nlp PDF Author: Richard Bandler
Publisher: Attrakt Bv
ISBN: 9789460510700
Category : Neurolinguistic programming
Languages : en
Pages : 0

Book Description
This book shares the expertise of some of the top Society of NLP Master trainers' in thier chosen fields of endeavour. In this book we explore seven of the most important practical applications of NLP. In fields such as hypnosis, coaching and public speaking NLP is successful and well known. Yet there are applications where the role of NLP is less well known. NLP brings out the best in people, whether it is in Sport, Education, Health or Business.

Real-World Natural Language Processing

Real-World Natural Language Processing PDF Author: Masato Hagiwara
Publisher: Simon and Schuster
ISBN: 1638350396
Category : Computers
Languages : en
Pages : 334

Book Description
Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. In Real-world Natural Language Processing you will learn how to: Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots Use advanced NLP concepts such as attention and transfer learning Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more. About the book Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you’ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process. What's inside Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots About the reader For Python programmers. No prior machine learning knowledge assumed. About the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009. He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer. He now runs his own research and consulting company. Table of Contents PART 1 BASICS 1 Introduction to natural language processing 2 Your first NLP application 3 Word and document embeddings 4 Sentence classification 5 Sequential labeling and language modeling PART 2 ADVANCED MODELS 6 Sequence-to-sequence models 7 Convolutional neural networks 8 Attention and Transformer 9 Transfer learning with pretrained language models PART 3 PUTTING INTO PRODUCTION 10 Best practices in developing NLP applications 11 Deploying and serving NLP applications

7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS'09)

7th International Conference on Practical Applications of Agents and Multi-Agent Systems (PAAMS'09) PDF Author: Yves Demazeau
Publisher: Springer Science & Business Media
ISBN: 3642004873
Category : Computers
Languages : en
Pages : 603

Book Description
PAAMS, the International Conference on Practical Applications of Agents and Multi-Agent Systems is an evolution of the International Workshop on Practical Applications of Agents and Multi-Agent Systems. PAAMS is an international yearly tribune to present, to discuss, and to disseminate the latest developments and the most important outcomes related to real-world applications. It provides a unique opportunity to bring multi-disciplinary experts, academics and practitioners together to exchange their experience in the development of Agents and Multi-Agent Systems. This volume presents the papers that have been accepted for the 2009 edition. These articles capture the most innovative results and this year’s trends: Assisted Cognition, E-Commerce, Grid Computing, Human Modelling, Information Systems, Knowledge Management, Agent-Based Simulation, Software Development, Transports, Trust and Security. Each paper has been reviewed by three different reviewers, from an international committee composed of 64 members from 20 different countries. From the 92 submissions received, 35 were selected for full presentation at the conference, and 26 were accepted as posters.

Deep Learning for Coders with fastai and PyTorch

Deep Learning for Coders with fastai and PyTorch PDF Author: Jeremy Howard
Publisher: O'Reilly Media
ISBN: 1492045497
Category : Computers
Languages : en
Pages : 624

Book Description
Deep learning is often viewed as the exclusive domain of math PhDs and big tech companies. But as this hands-on guide demonstrates, programmers comfortable with Python can achieve impressive results in deep learning with little math background, small amounts of data, and minimal code. How? With fastai, the first library to provide a consistent interface to the most frequently used deep learning applications. Authors Jeremy Howard and Sylvain Gugger, the creators of fastai, show you how to train a model on a wide range of tasks using fastai and PyTorch. You’ll also dive progressively further into deep learning theory to gain a complete understanding of the algorithms behind the scenes. Train models in computer vision, natural language processing, tabular data, and collaborative filtering Learn the latest deep learning techniques that matter most in practice Improve accuracy, speed, and reliability by understanding how deep learning models work Discover how to turn your models into web applications Implement deep learning algorithms from scratch Consider the ethical implications of your work Gain insight from the foreword by PyTorch cofounder, Soumith Chintala

Seven NLP Techniques to Break Any Bad Habit

Seven NLP Techniques to Break Any Bad Habit PDF Author: Stanley Thompson
Publisher:
ISBN:
Category :
Languages : en
Pages : 154

Book Description
The simple yet powerful techniques to help you use your mind to its full potential and finally witness a real change in your behavior What your life looks like today is the sum of your habits. How happy you feel, how successful you are, how you deal with stress and struggle are all a result of what you think about. The thoughts you think in your mind influence what you do. And when you think something repeatedly, it becomes an unconscious pattern -- a habit. Breaking bad habits isn't always easy. Binge-watching your favorite tv series, chain-smoking in times of stress, snoozing your alarm clock are just some examples of the unconscious patterns we keep. Perhaps, you've tried to stop through the sheer power of will, only to go back to the same destructive behavior in a week or a month. You may tell yourself: "I should exercise, I should get up early, I should quit," only to wake up with feelings of guilt and shame the next day. Sometimes, for real change to occur, self-discipline simply won't cut it. Because habits are deep psychological patterns often established by your past, your values, and your language use. So, it's not as simple as willing yourself to stop. Neuro-Linguistic Programming (NLP) makes you aware of your self-sabotaging language, identifies your subconscious patterns, and gives you new ways to think about life. Your mind controls every thought, action, and experience in your life. If you understand how it works, you can finally take conscious control of the things you never thought possible. In 7 NLP Techniques to Break Any Bad Habit, you will discover: The proven and tested psychological approach to transforming your habits once and for all The exact language you need to use to influence your thoughts, let go of negative feelings, and create a positive future The necessary self-assessment questions you need to answer to get to know your negative patterns and true values Step-by-step instructions to the one technique that has been proven to break bad habits permanently (see chapter 3) True-to-life examples to understand how mindset, beliefs, and language work in everyday situations Simple strategies to remove triggers, achieve success, and witness massive shifts in your personal and professional life Practical exercises to help you change your attitude, reframe your mindset, and break habit patterns And much more. When trying to break a bad habit, many people make the mistake of only focusing on the conscious part of their mind. But the road to successful change lies in your subconscious. These 7 NLP techniques are laid out with easy steps anyone can follow, and they will allow you to take 100% control of what goes on behind the scenes. Let go of the disempowering patterns of the past... and take hold of your empowering future! If you are ready to show up in all of your greatness in everything that you do, then get this book RIGHT NOW.

Applied Natural Language Processing in the Enterprise

Applied Natural Language Processing in the Enterprise PDF Author: Ankur A Patel
Publisher:
ISBN: 9781492062578
Category :
Languages : en
Pages : 350

Book Description
NLP is one of the hottest topics in AI today. Having lagged for years behind other deep learning fields such as computer vision, NLP only recently gained mainstream popularity. Google, Facebook, and OpenAI have open-sourced large pretrained language models, but many organizations today still struggle with building and adopting NLP applications. This hands-on guide helps you learn the process quickly. If you have a basic to intermediate understanding of machine learning and programming experience with Python, you'll learn how to build and deploy real-world NLP applications in your organization. Authors Ankur Patel and Ajay Uppili Arasanipalai walk you through the process without bogging you down in theory. Understand how state-of-the-art NLP models work Learn the tools of the trade, including frameworks popular today Perform NLP tasks such as text classification, semantic search, and reading comprehension Solve problems using new models like transformers and techniques such as transfer learning Build NLP models from scratch with performance comparable or superior to out-of-the-box systems Deploy your models to production and maintain their performance Implement a suite of NLP algorithms using Python and PyTorch

Natural Language Processing with Python

Natural Language Processing with Python PDF Author: Steven Bird
Publisher: "O'Reilly Media, Inc."
ISBN: 0596555717
Category : Computers
Languages : en
Pages : 506

Book Description
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.

Complex Networks and Their Applications VII

Complex Networks and Their Applications VII PDF Author: Luca Maria Aiello
Publisher: Springer
ISBN: 3030054144
Category : Technology & Engineering
Languages : en
Pages : 677

Book Description
This book highlights cutting-edge research in the field of network science, offering scientists, researchers, students and practitioners a unique update on the latest advances in theory, together with a wealth of applications. It presents the peer-reviewed proceedings of the VII International Conference on Complex Networks and their Applications (COMPLEX NETWORKS 2018), which was held in Cambridge on December 11–13, 2018. The carefully selected papers cover a wide range of theoretical topics such as network models and measures; community structure and network dynamics; diffusion, epidemics and spreading processes; and resilience and control; as well as all the main network applications, including social and political networks; networks in finance and economics; biological and neuroscience networks; and technological networks.

Real-World Natural Language Processing

Real-World Natural Language Processing PDF Author: Masato Hagiwara
Publisher: Manning
ISBN: 9781617296420
Category : Computers
Languages : en
Pages : 0

Book Description
Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. In Real-world Natural Language Processing you will learn how to: Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots Use advanced NLP concepts such as attention and transfer learning Real-world Natural Language Processing teaches you how to create practical NLP applications without getting bogged down in complex language theory and the mathematics of deep learning. In this engaging book, you’ll explore the core tools and techniques required to build a huge range of powerful NLP apps, including chatbots, language detectors, and text classifiers. Purchase of the print book includes a free eBook in PDF, Kindle, and ePub formats from Manning Publications. About the technology Training computers to interpret and generate speech and text is a monumental challenge, and the payoff for reducing labor and improving human/computer interaction is huge! Th e field of Natural Language Processing (NLP) is advancing rapidly, with countless new tools and practices. This unique book offers an innovative collection of NLP techniques with applications in machine translation, voice assistants, text generation, and more. About the book Real-world Natural Language Processing shows you how to build the practical NLP applications that are transforming the way humans and computers work together. Guided by clear explanations of each core NLP topic, you’ll create many interesting applications including a sentiment analyzer and a chatbot. Along the way, you’ll use Python and open source libraries like AllenNLP and HuggingFace Transformers to speed up your development process. What's inside Design, develop, and deploy useful NLP applications Create named entity taggers Build machine translation systems Construct language generation systems and chatbots About the reader For Python programmers. No prior machine learning knowledge assumed. About the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009. He has interned at Google and Microsoft Research, and worked at Duolingo as a Senior Machine Learning Engineer. He now runs his own research and consulting company. Table of Contents PART 1 BASICS 1 Introduction to natural language processing 2 Your first NLP application 3 Word and document embeddings 4 Sentence classification 5 Sequential labeling and language modeling PART 2 ADVANCED MODELS 6 Sequence-to-sequence models 7 Convolutional neural networks 8 Attention and Transformer 9 Transfer learning with pretrained language models PART 3 PUTTING INTO PRODUCTION 10 Best practices in developing NLP applications 11 Deploying and serving NLP applications
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