Practical Nlp

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Practical Natural Language Processing

Author : Sowmya Vajjala
Publisher : O'Reilly Media
ISBN 13 : 149205402X
Total Pages : 455 pages
Book Rating : 4.4/5 (92 download)

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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

Practical Natural Language Processing

Author : Sowmya Vajjala
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1492054003
Total Pages : 456 pages
Book Rating : 4.4/5 (92 download)

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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, Inc.". This book was released on 2020-06-17 with total page 456 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

Practical Natural Language Processing

Author : Sowmya V. B.
Publisher :
ISBN 13 : 9787564194925
Total Pages : 424 pages
Book Rating : 4.1/5 (949 download)

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Book Synopsis Practical Natural Language Processing by : Sowmya V. B.

Download or read book Practical Natural Language Processing written by Sowmya V. B. and published by . This book was released on 2021 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Practical NLP for Managers

Author : Ian McDermott
Publisher : Gower Publishing, Ltd.
ISBN 13 : 9780566076718
Total Pages : 236 pages
Book Rating : 4.0/5 (767 download)

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Book Synopsis Practical NLP for Managers by : Ian McDermott

Download or read book Practical NLP for Managers written by Ian McDermott and published by Gower Publishing, Ltd.. This book was released on 1996 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Real-World Natural Language Processing

Author : Masato Hagiwara
Publisher : Simon and Schuster
ISBN 13 : 1617296422
Total Pages : 334 pages
Book Rating : 4.6/5 (172 download)

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Book Synopsis Real-World Natural Language Processing by : Masato Hagiwara

Download or read book Real-World Natural Language Processing written by Masato Hagiwara and published by Simon and Schuster. This book was released on 2021-12-14 with total page 334 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Nlp Workbook: A Practical Guide to Achieving the Results You Want

Author : Joseph O'Connor
Publisher : Red Wheel/Weiser
ISBN 13 : 1590035186
Total Pages : 306 pages
Book Rating : 4.5/5 (9 download)

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Book Synopsis Nlp Workbook: A Practical Guide to Achieving the Results You Want by : Joseph O'Connor

Download or read book Nlp Workbook: A Practical Guide to Achieving the Results You Want written by Joseph O'Connor and published by Red Wheel/Weiser. This book was released on 2021-05 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Practical Nlp

Author : Andy Smith
Publisher : Createspace Independent Publishing Platform
ISBN 13 : 9781979979184
Total Pages : 70 pages
Book Rating : 4.9/5 (791 download)

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Book Synopsis Practical Nlp by : Andy Smith

Download or read book Practical Nlp written by Andy Smith and published by Createspace Independent Publishing Platform. This book was released on 2017-12-02 with total page 70 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Neurolinguistic Programming (NLP)

Author : Neil Shah
Publisher : Icon Books Ltd
ISBN 13 : 1848319533
Total Pages : 158 pages
Book Rating : 4.8/5 (483 download)

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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.

Natural Language Processing with Transformers, Revised Edition

Author : Lewis Tunstall
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 1098136764
Total Pages : 409 pages
Book Rating : 4.0/5 (981 download)

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Book Synopsis Natural Language Processing with Transformers, Revised Edition by : Lewis Tunstall

Download or read book Natural Language Processing with Transformers, Revised Edition written by Lewis Tunstall and published by "O'Reilly Media, Inc.". This book was released on 2022-05-26 with total page 409 pages. Available in PDF, EPUB and Kindle. Book excerpt: Since their introduction in 2017, transformers have quickly become the dominant architecture for achieving state-of-the-art results on a variety of natural language processing tasks. If you're a data scientist or coder, this practical book -now revised in full color- shows you how to train and scale these large models using Hugging Face Transformers, a Python-based deep learning library. Transformers have been used to write realistic news stories, improve Google Search queries, and even create chatbots that tell corny jokes. In this guide, authors Lewis Tunstall, Leandro von Werra, and Thomas Wolf, among the creators of Hugging Face Transformers, use a hands-on approach to teach you how transformers work and how to integrate them in your applications. You'll quickly learn a variety of tasks they can help you solve. Build, debug, and optimize transformer models for core NLP tasks, such as text classification, named entity recognition, and question answering Learn how transformers can be used for cross-lingual transfer learning Apply transformers in real-world scenarios where labeled data is scarce Make transformer models efficient for deployment using techniques such as distillation, pruning, and quantization Train transformers from scratch and learn how to scale to multiple GPUs and distributed environments

Natural Language Processing with Python

Author : Steven Bird
Publisher : "O'Reilly Media, Inc."
ISBN 13 : 0596555717
Total Pages : 506 pages
Book Rating : 4.5/5 (965 download)

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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.

A Practical Guide to NLP

Author : Neil Shah
Publisher : Icon Books Ltd
ISBN 13 : 184831325X
Total Pages : 180 pages
Book Rating : 4.8/5 (483 download)

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Book Synopsis A Practical Guide to NLP by : Neil Shah

Download or read book A Practical Guide to NLP written by Neil Shah and published by Icon Books Ltd. This book was released on 2011-04-08 with total page 180 pages. Available in PDF, EPUB and Kindle. Book excerpt: An INTRODUCING PRACTICAL GUIDE to the therapy designed to help people have better, fuller and richer lives – as well as work far more effectively. By focusing on how we communicate – the words we use as well as non-verbal communication such as body language – NLP seeks to change our mental habits into those of more successful people. Whether you're a salesperson needing to close more deals, a teacher who would like to get through to your pupils more quickly, or someone who needs to negotiate between parties – this INTRODUCING PRACTICAL GUIDE is for you.

Persuasion Skills Black Book

Author : Rintu Basu
Publisher : Cabal Group Limited
ISBN 13 : 190543054X
Total Pages : 185 pages
Book Rating : 4.9/5 (54 download)

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Book Synopsis Persuasion Skills Black Book by : Rintu Basu

Download or read book Persuasion Skills Black Book written by Rintu Basu and published by Cabal Group Limited. This book was released on 2009 with total page 185 pages. Available in PDF, EPUB and Kindle. Book excerpt: A manual for quickly learning some very powerful hypnotic language patters that you can use in practical, real world situations.

A Practical Guide to Hybrid Natural Language Processing

Author : Jose Manuel Gomez-Perez
Publisher : Springer Nature
ISBN 13 : 3030448304
Total Pages : 268 pages
Book Rating : 4.0/5 (34 download)

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Book Synopsis A Practical Guide to Hybrid Natural Language Processing by : Jose Manuel Gomez-Perez

Download or read book A Practical Guide to Hybrid Natural Language Processing written by Jose Manuel Gomez-Perez and published by Springer Nature. This book was released on 2020-06-16 with total page 268 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides readers with a practical guide to the principles of hybrid approaches to natural language processing (NLP) involving a combination of neural methods and knowledge graphs. To this end, it first introduces the main building blocks and then describes how they can be integrated to support the effective implementation of real-world NLP applications. To illustrate the ideas described, the book also includes a comprehensive set of experiments and exercises involving different algorithms over a selection of domains and corpora in various NLP tasks. Throughout, the authors show how to leverage complementary representations stemming from the analysis of unstructured text corpora as well as the entities and relations described explicitly in a knowledge graph, how to integrate such representations, and how to use the resulting features to effectively solve NLP tasks in a range of domains. In addition, the book offers access to executable code with examples, exercises and real-world applications in key domains, like disinformation analysis and machine reading comprehension of scientific literature. All the examples and exercises proposed in the book are available as executable Jupyter notebooks in a GitHub repository. They are all ready to be run on Google Colaboratory or, if preferred, in a local environment. A valuable resource for anyone interested in the interplay between neural and knowledge-based approaches to NLP, this book is a useful guide for readers with a background in structured knowledge representations as well as those whose main approach to AI is fundamentally based on logic. Further, it will appeal to those whose main background is in the areas of machine and deep learning who are looking for ways to leverage structured knowledge bases to optimize results along the NLP downstream.

Natural Language Processing with PyTorch

Author : Delip Rao
Publisher : O'Reilly Media
ISBN 13 : 1491978201
Total Pages : 256 pages
Book Rating : 4.4/5 (919 download)

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Book Synopsis Natural Language Processing with PyTorch by : Delip Rao

Download or read book Natural Language Processing with PyTorch written by Delip Rao and published by O'Reilly Media. This book was released on 2019-01-22 with total page 256 pages. Available in PDF, EPUB and Kindle. Book excerpt: Natural Language Processing (NLP) provides boundless opportunities for solving problems in artificial intelligence, making products such as Amazon Alexa and Google Translate possible. If you’re a developer or data scientist new to NLP and deep learning, this practical guide shows you how to apply these methods using PyTorch, a Python-based deep learning library. Authors Delip Rao and Brian McMahon provide you with a solid grounding in NLP and deep learning algorithms and demonstrate how to use PyTorch to build applications involving rich representations of text specific to the problems you face. Each chapter includes several code examples and illustrations. Explore computational graphs and the supervised learning paradigm Master the basics of the PyTorch optimized tensor manipulation library Get an overview of traditional NLP concepts and methods Learn the basic ideas involved in building neural networks Use embeddings to represent words, sentences, documents, and other features Explore sequence prediction and generate sequence-to-sequence models Learn design patterns for building production NLP systems

Natural Language Processing in Action

Author : Hannes Hapke
Publisher : Simon and Schuster
ISBN 13 : 1638356890
Total Pages : 798 pages
Book Rating : 4.6/5 (383 download)

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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)

Hands-On Natural Language Processing with Python

Author : Rajesh Arumugam
Publisher : Packt Publishing Ltd
ISBN 13 : 1789135915
Total Pages : 307 pages
Book Rating : 4.7/5 (891 download)

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Book Synopsis Hands-On Natural Language Processing with Python by : Rajesh Arumugam

Download or read book Hands-On Natural Language Processing with Python written by Rajesh Arumugam and published by Packt Publishing Ltd. This book was released on 2018-07-18 with total page 307 pages. Available in PDF, EPUB and Kindle. Book excerpt: 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.

Natural Language Processing with Python and spaCy

Author : Yuli Vasiliev
Publisher : No Starch Press
ISBN 13 : 171850053X
Total Pages : 217 pages
Book Rating : 4.7/5 (185 download)

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Book Synopsis Natural Language Processing with Python and spaCy by : Yuli Vasiliev

Download or read book Natural Language Processing with Python and spaCy written by Yuli Vasiliev and published by No Starch Press. This book was released on 2020-04-28 with total page 217 pages. Available in PDF, EPUB and Kindle. Book excerpt: An introduction to natural language processing with Python using spaCy, a leading Python natural language processing library. Natural Language Processing with Python and spaCy will show you how to create NLP applications like chatbots, text-condensing scripts, and order-processing tools quickly and easily. You'll learn how to leverage the spaCy library to extract meaning from text intelligently; how to determine the relationships between words in a sentence (syntactic dependency parsing); identify nouns, verbs, and other parts of speech (part-of-speech tagging); and sort proper nouns into categories like people, organizations, and locations (named entity recognizing). You'll even learn how to transform statements into questions to keep a conversation going. You'll also learn how to: • Work with word vectors to mathematically find words with similar meanings (Chapter 5) • Identify patterns within data using spaCy's built-in displaCy visualizer (Chapter 7) • Automatically extract keywords from user input and store them in a relational database (Chapter 9) • Deploy a chatbot app to interact with users over the internet (Chapter 11) "Try This" sections in each chapter encourage you to practice what you've learned by expanding the book's example scripts to handle a wider range of inputs, add error handling, and build professional-quality applications. By the end of the book, you'll be creating your own NLP applications with Python and spaCy.