Search results for: the-nlp-toolkit

The NLP Toolkit

Author : Roger Terry
File Size : 66.63 MB
Format : PDF, Kindle
Download : 152
Read : 1249
Download »
The NLP Toolkit is packed with easy to use tools, activities and techniques. Organised in an accessible way and grounded in teacher experience and practice, it provides a comprehensive toolkit that uses NLP techniques to improve all aspects of learning and teaching from using a simple spelling strategy to developing leadership skills. NLP is often described as 'the technology of emotional intelligence'. The NLP Toolkit gives you practical 'how to' ways to develop your own emotional resilience as well as ways to work with children in the area of emotional and social skills. The five sections cover: In the class activities Emotional and social literacy with children Stagecraft and presentation skills Personal development and effectiveness Leading with NLP The NLP Toolkit is the perfect companion to the highly acclaimed NLP for Teachers: How to be a highly effective teacher ISBN 9781845900632 and will be useful for both teachers with experience of NLP and those who are new to the subject.

Natural Language Processing with Python

Author : Steven Bird
File Size : 51.92 MB
Format : PDF, ePub, Mobi
Download : 122
Read : 1117
Download »
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.

The NLP Practitioner A Practitioners Toolkit

Author : Toby and Kate McCartney
File Size : 61.43 MB
Format : PDF, ePub, Docs
Download : 667
Read : 788
Download »
Neuro Linguistic Programming (NLP) is the study of excellence and how we get outstanding results... It's an art and science designed for those who have a curiosity and an openness to learning more about the world we live in. NLP is not only a collection of effective tools and techniques, it is a process of replicating our conscious and unconscious patterns to get the right results that move us towards our desired successes. 'The NLP Practitioner' is a jargon free guide to NLP and is packed with step-by-step explanations and diagrams that untangle the mysteries of how to get outstanding results and success in your life. Whether you're a complete beginner, and avid student or an armchair expert, you'll find lots of food for thought in this book.

Natural Language Processing Fundamentals

Author : Sohom Ghosh
File Size : 41.67 MB
Format : PDF, Mobi
Download : 730
Read : 353
Download »
Use Python and NLTK (Natural Language Toolkit) to build out your own text classifiers and solve common NLP problems. Key Features Assimilate key NLP concepts and terminologies Explore popular NLP tools and techniques Gain practical experience using NLP in application code Book Description If NLP hasn't been your forte, Natural Language Processing Fundamentals will make sure you set off to a steady start. This comprehensive guide will show you how to effectively use Python libraries and NLP concepts to solve various problems. You'll be introduced to natural language processing and its applications through examples and exercises. This will be followed by an introduction to the initial stages of solving a problem, which includes problem definition, getting text data, and preparing it for modeling. With exposure to concepts like advanced natural language processing algorithms and visualization techniques, you'll learn how to create applications that can extract information from unstructured data and present it as impactful visuals. Although you will continue to learn NLP-based techniques, the focus will gradually shift to developing useful applications. In these sections, you'll understand how to apply NLP techniques to answer questions as can be used in chatbots. By the end of this book, you'll be able to accomplish a varied range of assignments ranging from identifying the most suitable type of NLP task for solving a problem to using a tool like spacy or gensim for performing sentiment analysis. The book will easily equip you with the knowledge you need to build applications that interpret human language. What you will learn Obtain, verify, and clean data before transforming it into a correct format for use Perform data analysis and machine learning tasks using Python Understand the basics of computational linguistics Build models for general natural language processing tasks Evaluate the performance of a model with the right metrics Visualize, quantify, and perform exploratory analysis from any text data Who this book is for Natural Language Processing Fundamentals is designed for novice and mid-level data scientists and machine learning developers who want to gather and analyze text data to build an NLP-powered product. It'll help you to have prior experience of coding in Python using data types, writing functions, and importing libraries. Some experience with linguistics and probability is useful but not necessary.

Natural Language Processing

Author : Samuel Burns
File Size : 37.66 MB
Format : PDF, ePub, Mobi
Download : 501
Read : 721
Download »
Natural language processing (NLP) is about developing applications and services that are able to understand human languages. In this perfect Natural Language Processing Tutorial, we will use Python NLTK library. Natural language toolkit (NLTK) is the most popular library for natural language processing (NLP) which was written in Python and has a big community behind it. This is the Ultimate guide to learn Natural Language Processing (NLP) basics, such as how to identify and separate words, how to extract topics in a text. You dont need a big and a boring book to start today . Get Your Copy Now!!Book ObjectivesThe book objectives include the following: To help you appreciate big data as a great source of information and knowledge. To help you understand natural language processing. To help you know how to use natural language processing to extract knowledge and information from big data. To help you learn how to implement natural language processing solutions using NLTK (Natural Language Processing Toolkit) and other libraries in Python. Who this Book is for? Do you belong to any of the following categories? You are a complete beginner to natural language processing. You want to learn Python programming for natural language processing. You want to advance your skills in Python for natural language processing. Professors, lecturers or tutors who are looking to find better ways to explain Natural Language Processing to their students in the simplest and easiest way. Students and academicians, especially those focusing on python programming, Neural Networks, Machine Learning, Deep Learning, and Artificial Intelligence. If yes, this is the right book for you. What do you need for this Book? You only have to have installed Python 3.X on your computer. The author guides you on how to install the rest of the libraries on your computer. What is inside the book? GETTING STARTED WITH NATURAL LANGUAGE PROCESSING TEXT WRANGLING AND CLEANSING. REPLACING AND CORRECTING WORDS. TEXT CLASSIFICATION. SENTIMENT ANALYSIS. PARSING STRUCTURE IN TEXT. SOCIAL MEDIA MINING. NLTK FOR SENTIMENT ANALYSIS. SCIKIT-LEARN FOR TEXT CLASSIFICATION. WORK WITH PDF FILES IN PYTHON. WORK WITH TEXT FILES IN PYTHON. WORD2VEC ALGORITHM. NLP APPLICATIONS From the back cover.This comprehensive guide covers both statistical and symbolic approaches to Natural Language Processing. This is a good introduction to all the major topics of computational linguistics, which includes automatic speech recognition and processing, machine translation, information extraction, and statistical methods of linguistic analysis. Indeed, Natural Language Processing is the scientific discipline concerned with making the natural language accessible to machines, and it is a necessary means to facilitate text analytics by establishing structure in unstructured text to enable further analysis. This guide is a fundamental reference for any computational linguist, speech scientist or language data scientist. The explanations and illustrations in this short book are very intuitive and simple. The author helps you understand what natural language processing is. This is basically a theory touching on the fundamentals of natural language processing. The author then explains to you what the NLTK library is and what it does. The rest of the book is about implementing natural language processing tasks using the NLTK library in Python. Samuel Burns uses a combination of theory, Python code examples, and screenshots showing the expected outputs for various program codes.

Advances in Information Technology and Communication in Health

Author : J.G. McDaniel
File Size : 83.91 MB
Format : PDF, Docs
Download : 987
Read : 686
Download »
The topics of Advances in Information Technology and Communication in Health, the proceedings of ITCH 2009, include telemedicine and telehealth, electronic health records, software assurance and usability, terminology, classification and standards, software selection and evaluation, research and development initiatives, service administration, management and self-management, nation-wide Canadian initiatives, ethics, policy and government, decision support, artificial intelligence and modeling, software design and development, educational initiatives and professional development and technology adoption and evaluation. In March 1986, a Canadian colloquium with an international flavor was convened to discuss the impact of information technology on community health. It was sponsored by the School of Health Information Science at the University of Victoria and the British Columbia Ministry of Health. This small, successful gathering was the predecessor of the Information Technology in Community Health (ITCH) conferences that followed in 1987, 1988, 1990, 1992, 1994, 1996, 1998 and 2000. In 2007, after a brief hiatus, the conference was held again, but this time it had expanded its scope. It was known as Information Technology and Communications in Health (ITCH) 2007; with the same acronym but with a different meaning as demanded by its international appeal and wider choice of subject areas. The conference in 2007 was an unmatched success and for the conference of 2009, an even more eventful convention is expected, which encourages experts to demonstrate and share their experiences and knowledge. The theme for the ITCH 2009 conference is ‘Revolutionizing Health Care with Informatics: From Research to Practice’.

Evaluating Natural Language Processing Systems

Author : Karen Sparck Jones
File Size : 43.4 MB
Format : PDF, Kindle
Download : 138
Read : 191
Download »
This book is about the patterns of connections between brain structures. It reviews progress on the analysis of neuroanatomical connection data and presents six different approaches to data analysis. The results of their application to data from cat and monkey cortex are explored. This volume sheds light on the organization of the brain that is specified by its wiring.

Nlp Mastery Toolkit

Author : Modern Psychology Publishing
File Size : 65.9 MB
Format : PDF
Download : 500
Read : 269
Download »
Bonus Free Workbook Included with Step-by-Step Guided Exercises Are you tired of being stuck in the same negative habits, but don't know how to change? Do you feel like old fears and unnecessary limitations and are holding you back from getting extraordinary results in your life, but you don't know how to break free? If you answered 'yes' to any of these questions, Neuro Linguistic Programming may be just what you need to create drastic positive change in your life. You have the power to rewrite your habits! If you want to feel amazing, both physically and mentally, NLP is a perfect way to chart your way to a happier, healthier life. Believe it or not, NLP is extremely simple to learn - you just need to know how. Become the master of your psychology with the NLP Mastery Toolkit! This book contains 6 manuscripts to help you master your psychology: - NLP: Neuro Linguistic Programming: The 10 Most Powerful Tools to Re-Program Your Behavior and Maximize Your Potential - NLP: Persuasive Language Hacks: Instant Social Influence With Subliminal Thought Control and Neuro Linguistic Programming - NLP: Frame Control: Using the Mindset of Power To Get What You Want In Relationships, Business & Life - NLP: Anxiety: Reprogram Your Brain to Eliminate Stress, Fear and Social Anxiety - NLP: Depression: Techniques for Taking Control and Increasing Happiness with Neuro Linguistic Programming - NLP: Stop Dieting: Reprogram Your Eating Habits for Permanent, Effortless Weight Loss In this book you will learn: - Over 50 of the most effective NLP techniques to guide you on the path to self transformation - How to build positive thought habits, one step at a time - How to improve communication with others - Techniques to implant suggestions into the subconscious for maximum, rapid effect This book is highly actionable, with step-by-step exercises for each technique and a Free Workbook included, to guide you on your journey of self-mastery. Stop engaging in negative thought patterns of limitation. When you change your thought patterns, you change your state of mind. Get in touch with your psychology and create more success in your life than you ever thought possible! So what are you waiting for Pick up a copy of NLP: Mastery Toolkit today and start to transform your life with these powerful NLP techniques!! Click the ADD TO CART button at the top of this page!

Artificial Intelligence Concepts Methodologies Tools and Applications

Author : Management Association, Information Resources
File Size : 78.31 MB
Format : PDF, ePub, Mobi
Download : 637
Read : 167
Download »
Ongoing advancements in modern technology have led to significant developments in artificial intelligence. With the numerous applications available, it becomes imperative to conduct research and make further progress in this field. Artificial Intelligence: Concepts, Methodologies, Tools, and Applications provides a comprehensive overview of the latest breakthroughs and recent progress in artificial intelligence. Highlighting relevant technologies, uses, and techniques across various industries and settings, this publication is a pivotal reference source for researchers, professionals, academics, upper-level students, and practitioners interested in emerging perspectives in the field of artificial intelligence.

NLP Now You Know

Author : Tina Smith
File Size : 80.94 MB
Format : PDF
Download : 678
Read : 1274
Download »
This book follows on from the NLP-What is it? book and enhances the experiences, and expands on the tools in the NLP toolkit.

Natural Language Processing Python and NLTK

Author : Nitin Hardeniya
File Size : 40.13 MB
Format : PDF
Download : 654
Read : 1064
Download »
Learn to build expert NLP and machine learning projects using NLTK and other Python libraries About This Book Break text down into its component parts for spelling correction, feature extraction, and phrase transformation Work through NLP concepts with simple and easy-to-follow programming recipes Gain insights into the current and budding research topics of NLP Who This Book Is For If you are an NLP or machine learning enthusiast and an intermediate Python programmer who wants to quickly master NLTK for natural language processing, then this Learning Path will do you a lot of good. Students of linguistics and semantic/sentiment analysis professionals will find it invaluable. What You Will Learn The scope of natural language complexity and how they are processed by machines Clean and wrangle text using tokenization and chunking to help you process data better Tokenize text into sentences and sentences into words Classify text and perform sentiment analysis Implement string matching algorithms and normalization techniques Understand and implement the concepts of information retrieval and text summarization Find out how to implement various NLP tasks in Python In Detail Natural Language Processing is a field of computational linguistics and artificial intelligence that deals with human-computer interaction. It provides a seamless interaction between computers and human beings and gives computers the ability to understand human speech with the help of machine learning. The number of human-computer interaction instances are increasing so it's becoming imperative that computers comprehend all major natural languages. The first NLTK Essentials module is an introduction on how to build systems around NLP, with a focus on how to create a customized tokenizer and parser from scratch. You will learn essential concepts of NLP, be given practical insight into open source tool and libraries available in Python, shown how to analyze social media sites, and be given tools to deal with large scale text. This module also provides a workaround using some of the amazing capabilities of Python libraries such as NLTK, scikit-learn, pandas, and NumPy. The second Python 3 Text Processing with NLTK 3 Cookbook module teaches you the essential techniques of text and language processing with simple, straightforward examples. This includes organizing text corpora, creating your own custom corpus, text classification with a focus on sentiment analysis, and distributed text processing methods. The third Mastering Natural Language Processing with Python module will help you become an expert and assist you in creating your own NLP projects using NLTK. You will be guided through model development with machine learning tools, shown how to create training data, and given insight into the best practices for designing and building NLP-based applications using Python. This Learning Path combines some of the best that Packt has to offer in one complete, curated package and is designed to help you quickly learn text processing with Python and NLTK. It includes content from the following Packt products: NTLK essentials by Nitin Hardeniya Python 3 Text Processing with NLTK 3 Cookbook by Jacob Perkins Mastering Natural Language Processing with Python by Deepti Chopra, Nisheeth Joshi, and Iti Mathur Style and approach This comprehensive course creates a smooth learning path that teaches you how to get started with Natural Language Processing using Python and NLTK. You'll learn to create effective NLP and machine learning projects using Python and NLTK.

Natural Language Processing for Historical Texts

Author : Michael Piotrowski
File Size : 24.72 MB
Format : PDF, Mobi
Download : 104
Read : 1063
Download »
More and more historical texts are becoming available in digital form. Digitization of paper documents is motivated by the aim of preserving cultural heritage and making it more accessible, both to laypeople and scholars. As digital images cannot be searched for text, digitization projects increasingly strive to create digital text, which can be searched and otherwise automatically processed, in addition to facsimiles. Indeed, the emerging field of digital humanities heavily relies on the availability of digital text for its studies. Together with the increasing availability of historical texts in digital form, there is a growing interest in applying natural language processing (NLP) methods and tools to historical texts. However, the specific linguistic properties of historical texts -- the lack of standardized orthography, in particular -- pose special challenges for NLP. This book aims to give an introduction to NLP for historical texts and an overview of the state of the art in this field. The book starts with an overview of methods for the acquisition of historical texts (scanning and OCR), discusses text encoding and annotation schemes, and presents examples of corpora of historical texts in a variety of languages. The book then discusses specific methods, such as creating part-of-speech taggers for historical languages or handling spelling variation. A final chapter analyzes the relationship between NLP and the digital humanities. Certain recently emerging textual genres, such as SMS, social media, and chat messages, or newsgroup and forum postings share a number of properties with historical texts, for example, nonstandard orthography and grammar, and profuse use of abbreviations. The methods and techniques required for the effective processing of historical texts are thus also of interest for research in other domains. Table of Contents: Introduction / NLP and Digital Humanities / Spelling in Historical Texts / Acquiring Historical Texts / Text Encoding and Annotation Schemes / Handling Spelling Variation / NLP Tools for Historical Languages / Historical Corpora / Conclusion / Bibliography

Natural Language Processing with Java and LingPipe Cookbook

Author : Breck Baldwin
File Size : 23.89 MB
Format : PDF, ePub
Download : 362
Read : 786
Download »
This book is for experienced Java developers with NLP needs, whether academics, industrialists, or hobbyists. A basic knowledge of NLP terminology will be beneficial.

NLTK Essentials

Author : Nitin Hardeniya
File Size : 73.8 MB
Format : PDF, Kindle
Download : 631
Read : 717
Download »
Natural Language Processing (NLP) is the field of artificial intelligence and computational linguistics that deals with the interactions between computers and human languages. With the instances of human-computer interaction increasing, it's becoming imperative for computers to comprehend all major natural languages. Natural Language Toolkit (NLTK) is one such powerful and robust tool. You start with an introduction to get the gist of how to build systems around NLP. We then move on to explore data science-related tasks, following which you will learn how to create a customized tokenizer and parser from scratch. Throughout, we delve into the essential concepts of NLP while gaining practical insights into various open source tools and libraries available in Python for NLP. You will then learn how to analyze social media sites to discover trending topics and perform sentiment analysis. Finally, you will see tools which will help you deal with large scale text. By the end of this book, you will be confident about NLP and data science concepts and know how to apply them in your day-to-day work.

Natural Language Processing NLP Using Python

Author : Abhishek Chhibber
File Size : 59.6 MB
Format : PDF, Mobi
Download : 312
Read : 773
Download »
"This series will provide an overview and working knowledge of Natural Language Processing (NLP), using Python's Natural Language Toolkit (NLTK) library within an Anaconda environment. It is intended for users who have basic programming knowledge of Python and want to start with NLP."--Resource description page.

Neuro Linguistic Programming Workbook For Dummies

Author : Romilla Ready
File Size : 39.49 MB
Format : PDF, Kindle
Download : 135
Read : 219
Download »
If you are one of the millions of people who have already discovered the power of NLP, Neuro-linguistic Programming Workbook For Dummies will allow you to perfect its lessons on how to think more positively and communicate more effectively with others. This workbook is packed with hands-on exercises and practical techniques to help you make the most of NLP’s toolkit for new thinking and personal change. These can have an impact on many aspects of your life: from helping you change your negative beliefs, to building rapport and influencing others, to taking charge of the direction your life is taking. Take your understanding of NLP to the next level, and reap the benefits. Neuro-linguistic Programming Workbook For Dummies includes: Getting Your Mindset Right with NLP Setting Sound Goals Recognising Your Unconscious Values Recognising How You Distort Thinking Developing Personal Rapport Managing Your Emotions and Experiences Changing Habits and Modeling Success Recognizing What Works Adapting Language with Metamodeling and the Milton Model

Personal Development All In One For Dummies

Author : Rhena Branch
File Size : 39.70 MB
Format : PDF, Mobi
Download : 889
Read : 767
Download »
A complete guide to understanding how you think, and discovering how to think differently. Personal Development All-in-One For Dummies is a complete guide to the key techniques that help you master your thoughts: Neuro-linguistic Programming (NLP), Cognitive Behavioural Therapy (CBT), Life Coaching and Hypnotherapy. Discover the basic principles of each approach and receive sensible, practical and effective expert advice on how each one can help you challenge negative beliefs and change your attitudes. Whether you wish to conquer an anxiety, beat an addiction or simply think more positively, here you will find proven and popular methods that you can use to make major changes - improving your personal power and creating the life you want. Personal Development All-in-One For Dummies will include: Book I: Essential Concepts Exploring the Key Themes of NLP Understanding Cognitive Behavioural Therapy Examining Hypnotherapy Introducing Life Coaching Book II: Neuro-Linguistic Programming Taking Charge of Your Life Creating Rapport Reaching Beyond the Words People Say Exploring the Amazing Power of Your Senses Opening The Toolkit Understanding the Psychology Behind Your Habits and Behaviours Book III: Cognitive Behavioural Therapy Correcting Your Thinking Overcoming Obstacles to Progress Putting CBT into Action Taking a Fresh Look at Your Past Setting Your Sights on Goals Book IV: Hypnotherapy Taking A Separate View of Yourself Considering How Hypnotherapy Can Help Feeling Good Expanding the Reach of Hypnotherapy Practising Self-Hypnosis Book V: Life Coaching Introducing Your Coaching Journey Visualising Your Whole-Life Goals Becoming Your Best Self Focusing on the Elements of Your Life Physical, Mental and Emotional Wellbeing Developing and Growing

Natural Language Processing of Semitic Languages

Author : Imed Zitouni
File Size : 50.78 MB
Format : PDF, Kindle
Download : 553
Read : 899
Download »
Research in Natural Language Processing (NLP) has rapidly advanced in recent years, resulting in exciting algorithms for sophisticated processing of text and speech in various languages. Much of this work focuses on English; in this book we address another group of interesting and challenging languages for NLP research: the Semitic languages. The Semitic group of languages includes Arabic (206 million native speakers), Amharic (27 million), Hebrew (7 million), Tigrinya (6.7 million), Syriac (1 million) and Maltese (419 thousand). Semitic languages exhibit unique morphological processes, challenging syntactic constructions and various other phenomena that are less prevalent in other natural languages. These challenges call for unique solutions, many of which are described in this book. The 13 chapters presented in this book bring together leading scientists from several universities and research institutes worldwide. While this book devotes some attention to cutting-edge algorithms and techniques, its primary purpose is a thorough explication of best practices in the field. Furthermore, every chapter describes how the techniques discussed apply to Semitic languages. The book covers both statistical approaches to NLP, which are dominant across various applications nowadays and the more traditional, rule-based approaches, that were proven useful for several other application domains. We hope that this book will provide a "one-stop-shop'' for all the requisite background and practical advice when building NLP applications for Semitic languages.

Natural Language Processing with Python

Author : Tyler Edwards
File Size : 53.40 MB
Format : PDF
Download : 404
Read : 363
Download »
"NLP, or Natural Language Processing, is a computational approach to communication. This course will get you up-and-running with the popular NLP platform called Natural Language Toolkit (NLTK) in no time. You will start off by preparing text for Natural Language Processing by cleaning and simplifying it. Then you will implement more complex algorithms to break this text down and uncover contextual relationships that reveal the meaning and content of the text. You will learn how to tokenize various parts of sentences, and how to analyze them. You will learn about semantic as well as the syntactic analysis of text. During this course, you will learn how to solve various ambiguities in processing human language. You will also gain experience with NLP using Python and will be introduced to a variety of useful tools in NLTK. Plus, you will have an opportunity to build your first NLP application! By the end of this course, you will have the skills and tools to begin solving problems in the growing field of Latent Semantic Analysis."--Resource description page.

Introduction to Arabic Natural Language Processing

Author : Nizar Y. Habash
File Size : 58.77 MB
Format : PDF, Mobi
Download : 502
Read : 276
Download »
This book provides system developers and researchers in natural language processing and computational linguistics with the necessary background information for working with the Arabic language. The goal is to introduce Arabic linguistic phenomena and review the state-of-the-art in Arabic processing. The book discusses Arabic script, phonology, orthography, morphology, syntax and semantics, with a final chapter on machine translation issues. The chapter sizes correspond more or less to what is linguistically distinctive about Arabic, with morphology getting the lion's share, followed by Arabic script. No previous knowledge of Arabic is needed. This book is designed for computer scientists and linguists alike. The focus of the book is on Modern Standard Arabic; however, notes on practical issues related to Arabic dialects and languages written in the Arabic script are presented in different chapters. Table of Contents: What is "Arabic"? / Arabic Script / Arabic Phonology and Orthography / Arabic Morphology / Computational Morphology Tasks / Arabic Syntax / A Note on Arabic Semantics / A Note on Arabic and Machine Translation