Practical Natural Language Processing PDF Download

Author: Sowmya Vajjala
Publisher: O'Reilly Media
ISBN: 149205402X
Category : Computers
Languages : en
Pages : 455

View

Book Description
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

Author: Andy Smith
Publisher: Independently Published
ISBN:
Category :
Languages : en
Pages : 0

View

Book Description
Do you want to improve your people skills, handle difficult people better, and make your business more effective? These tools from NLP can help you!Business is mostly about dealing with people - so the skills and tools of NLP can help you lead, sell and motivate more effectively. This book brings together advanced models and patterns that will help you at work or in building your business. These include: The 'Levels of Change' model for team building and successful organisational change The most useful meta programs for understanding and influencing people in a business context How to use Perceptual Positions to deal with and even learn from difficult people How to give feedback effectively, and handle critical feedback resourcefully Why you have to change people's emotional states before you can change their minds How to run better meetings The 123-XL model for successful negotiations The CRAFT model for selling and influencing with NLP NLP for leadership ... and much more!Get this book today and take your business and leadership skills to the next level!

Author: Mathangi Sri
Publisher: Apress
ISBN: 9781484262450
Category : Computers
Languages : en
Pages : 253

View

Book Description
Work with natural language tools and techniques to solve real-world problems. This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Python. Practical Natural Language Processing with Python follows a case study-based approach. Each chapter is devoted to an industry or a use case, where you address the real business problems in that industry and the various ways to solve them. You start with various types of text data before focusing on the customer service industry, the type of data available in that domain, and the common NLP problems encountered. Here you cover the bag-of-words model supervised learning technique as you try to solve the case studies. Similar depth is given to other use cases such as online reviews, bots, finance, and so on. As you cover the problems in these industries you’ll also cover sentiment analysis, named entity recognition, word2vec, word similarities, topic modeling, deep learning, and sequence to sequence modelling. By the end of the book, you will be able to handle all types of NLP problems independently. You will also be able to think in different ways to solve language problems. Code and techniques for all the problems are provided in the book. What You Will Learn Build an understanding of NLP problems in industry Gain the know-how to solve a typical NLP problem using language-based models and machine learning Discover the best methods to solve a business problem using NLP - the tried and tested ones Understand the business problems that are tough to solve Who This Book Is For Analytics and data science professionals who want to kick start NLP, and NLP professionals who want to get new ideas to solve the problems at hand.

Author: Joseph O'Connor
Publisher: Red Wheel/Weiser
ISBN: 1590035186
Category : Psychology
Languages : en
Pages : 306

View

Book Description
Neuro-Linguistic Programming (NLP) studies brilliance and quality--how outstanding individuals and organizations get their outstanding results. Joseph O'Conner, a leading international NLP trainer and co-author of the bestselling Introducing NLP, offers a step-by-step guide to learning the NLP methods and techniques to help you become the person you want to be in the NLP Workbook. The NLP Workbook is a complete guide to NLP that includes: How to create and achieve outcomes How to choose your emotional state and shift thinking Meta modeling your own internal dialogue All of the basic NLP techniques and training exercises An Action Plan with exercises and suggestions for skill-building O'Conner discusses a range of topics from rapport and trust, and how to visualize, to negotiation skills, mental rehearsal and coaching. NLP Workbook is a book for everyone and anyone interested in NLP. The neophyte will find definitions, examples, and a step-by-step entry into learning how to use NLP, and trainers will discover many new ideas for NLP training.

Author: Steven Bird
Publisher: "O'Reilly Media, Inc."
ISBN: 0596555717
Category : Computers
Languages : en
Pages : 506

View

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.

Author: Andy Smith
Publisher: Createspace Independent Publishing Platform
ISBN: 9781979979184
Category :
Languages : en
Pages : 70

View

Book Description
If you're interested in improving your life, being happier, or more effective as a manager, this book is for you. You could use it as preparation if you are going to attend an NLP training course, or you could use it to get some practical benefits from the NLP principles even if you never intend to go in a classroom again! When I train NLP courses, I've often noticed that major realisations or 'Aha!' moments for many participants often come quite early in the course, when they learn about the 'presuppositions' or principles of NLP. So before the participants have had a chance to learn much in the way of 'technical' NLP skills, and certainly before they've had a chance to practice enough to get good at them, they're already seeing the potential for big improvements. I've come to believe that the most useful thing about the principles of NLP is that you can use them to make your life better, without any formal training or skills in NLP. Obviously you will get even better results if you do get some training and develop some skills, but acting 'as if' the principles are true will still help you. This is because the principles are an attitude and a way of looking at the world which you can regard as a set of instructions for success. This book explains 12 principles of NLP, each with practical tips and exercises that you can use straight away to get new perspectives on life, relationships, work and success.

Author: Ian McDermott
Publisher: Gower Publishing, Ltd.
ISBN: 9780566076718
Category : Business & Economics
Languages : en
Pages : 236

View

Book Description
NLP (Neuro-Linguistic Programming) is a powerful communication skills tool for every manager who wants to improve their powers of persuasion and leadership. There are many books setting out the relevant techniques; this is the first to show them at work in a practical management setting. The authors, both of them experienced NLP trainers, look in turn at each of the key elements in the management process and show how NLP can help. They explain- how to capture other people's attention and trust - how to motivate - how to use language (including body language) to maximum effect - how to handle staff appraisals - how to develop a consistent set of organizational values.

Author: Masato Hagiwara
Publisher: Simon and Schuster
ISBN: 1617296422
Category : Computers
Languages : en
Pages : 334

View

Book Description
Voice assistants, automated customer service agents, and other cutting-edge human-to-computer interactions rely on accurately interpreting language as it is written and spoken. 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. about the technology Natural language processing is the part of AI dedicated to understanding and generating human text and speech. NLP covers a wide range of algorithms and tasks, from classic functions such as spell checkers, machine translation, and search engines to emerging innovations like chatbots, voice assistants, and automatic text summarization. Wherever there is text, NLP can be useful for extracting meaning and bridging the gap between humans and machines. about the book Real-world Natural Language Processing teaches you how to create practical NLP applications using Python and open source NLP libraries such as AllenNLP and Fairseq. In this practical guide, you''ll begin by creating a complete sentiment analyzer, then dive deep into each component to unlock the building blocks you''ll use in all different kinds of NLP programs. By the time you''re done, you''ll have the skills to create named entity taggers, machine translation systems, spelling correctors, and language generation systems. what''s inside Design, develop, and deploy basic NLP applications NLP libraries such as AllenNLP and Fairseq Advanced NLP concepts such as attention and transfer learning about the reader Aimed at intermediate Python programmers. No mathematical or machine learning knowledge required. about the author Masato Hagiwara received his computer science PhD from Nagoya University in 2009, focusing on Natural Language Processing and machine learning. He has interned at Google and Microsoft Research, and worked at Baidu Japan, Duolingo, and Rakuten Institute of Technology. He now runs his own consultancy business advising clients, including startups and research institutions.

Author: William R. Hersh
Publisher: Lulu.com
ISBN: 1387642413
Category : Science
Languages : en
Pages : 488

View

Book Description
Health informatics is the discipline concerned with the management of healthcare data and information through the application of computers and other information technologies. The field focuses more on identifying and applying information in the healthcare field and less on the technology involved. Our goal is to stimulate and educate healthcare and IT professionals and students about the key topics in this rapidly changing field. This seventh edition reflects the current knowledge in the topics listed below and provides learning objectives, key points, case studies and extensive references. Available as a paperback and eBook. Visit the textbook companion website at http://informaticseducation.org for more information.--Page 4 de la couverture.

Author: Rajesh Arumugam
Publisher: Packt Publishing Ltd
ISBN: 1789135915
Category : Computers
Languages : en
Pages : 307

View

Book Description
Foster your NLP applications with the help of deep learning, NLTK, and TensorFlow Key Features Weave neural networks into linguistic applications across various platforms Perform NLP tasks and train its models using NLTK and TensorFlow Boost your NLP models with strong deep learning architectures such as CNNs and RNNs Book Description Natural language processing (NLP) has found its application in various domains, such as web search, advertisements, and customer services, and with the help of deep learning, we can enhance its performances in these areas. Hands-On Natural Language Processing with Python teaches you how to leverage deep learning models for performing various NLP tasks, along with best practices in dealing with today’s NLP challenges. To begin with, you will understand the core concepts of NLP and deep learning, such as Convolutional Neural Networks (CNNs), recurrent neural networks (RNNs), semantic embedding, Word2vec, and more. You will learn how to perform each and every task of NLP using neural networks, in which you will train and deploy neural networks in your NLP applications. You will get accustomed to using RNNs and CNNs in various application areas, such as text classification and sequence labeling, which are essential in the application of sentiment analysis, customer service chatbots, and anomaly detection. You will be equipped with practical knowledge in order to implement deep learning in your linguistic applications using Python's popular deep learning library, TensorFlow. By the end of this book, you will be well versed in building deep learning-backed NLP applications, along with overcoming NLP challenges with best practices developed by domain experts. What you will learn Implement semantic embedding of words to classify and find entities Convert words to vectors by training in order to perform arithmetic operations Train a deep learning model to detect classification of tweets and news Implement a question-answer model with search and RNN models Train models for various text classification datasets using CNN Implement WaveNet a deep generative model for producing a natural-sounding voice Convert voice-to-text and text-to-voice Train a model to convert speech-to-text using DeepSpeech Who this book is for Hands-on Natural Language Processing with Python is for you if you are a developer, machine learning or an NLP engineer who wants to build a deep learning application that leverages NLP techniques. This comprehensive guide is also useful for deep learning users who want to extend their deep learning skills in building NLP applications. All you need is the basics of machine learning and Python to enjoy the book.