Learn By Examples A Quick Guide To Java Programming For Text Mining And Nlp
Learn By Examples A Quick Guide To Java Programming For Text Mining And Nlp Book in PDF, ePub and Kindle version is available to download in english. Read online anytime anywhere directly from your device. Click on the download button below to get a free pdf file of Learn By Examples A Quick Guide To Java Programming For Text Mining And Nlp book. This book definitely worth reading, it is an incredibly well-written.
Learn By Examples - A Quick Guide to Java Programming for Text Mining and NLP by Eric M. H. Goh Pdf
This book aim to equip the reader with Java Programming, Text Mining and Natural Language Processing basics. There will be many examples and explanations that are lucid and straight to the point. You will be walked through various projects and develop your own text mining application. This book will show you how to use Stanford NLP libraries also. Asides, we have also uploaded some of our own softwares at: http://DSTK.Tech Content Covered: IntroductionGetting Started (Installing IDE, ...)Language Essentials I (variables, data types, ...)Language Essentials II (loops, if... else..., methods)Object Essentials (classes, inheritance, polymorphism, encapsulation, ...)Text Mining Essentials (Import Text Files, Text Transformation (lowercase, stopwords), Text Understanding (Stanford NLP), Text Classification (Stanford Classifier) )ISBN: 978-1-63535-546-8
Learn By Examples - A Quick Guide to C# Programming by Eric M. H. Goh Pdf
This book aim to equip the reader with C# programming fundamentals in a fast and practical way. There will be many examples and explanations are straight to the point. You will develop your own web browser at the end of the book. Content Covered: 1. Introduction 2. Getting Started... 3. Language Essentials I (Vairables, Arrays...) 4. Language Essentials II (Conditional Statements, Loops, ...) 5. Object Essentials (Polymorphism, Encapsulation, ...) 6. GUI Programming (Controls, Events Handling, ...) 7. Conclusion This book uses opensource softwares, hence, you don't have to worry about buying new softwares. You will get a head start into C# programming, focusing on GUI application developments in no time. ISBN: 978-163535306-8
A Beginner’s Guide to Learning Analytics by Srinivasa K G,Muralidhar Kurni Pdf
This book A Beginner’s Guide to Learning Analytics is designed to meet modern educational trends’ needs. It is addressed to readers who have no prior knowledge of learning analytics and functions as an introductory text to learning analytics for those who want to do more with evaluation/assessment in their organizations. The book is useful to all who need to evaluate their learning and teaching strategies. It aims to bring greater efficiency and deeper engagement to individual students, learning communities, and educators. Covered here are the key concepts linked to learning analytics for researchers and practitioners interested in learning analytics. This book helps those who want to apply analytics to learning and development programs and helps educational institutions to identify learners who require support and provide a more personalized learning experience. Like chapters show diverse uses of learning analytics to enhance student and faculty performance. It presents a coherent framework for the effective translation of learning analytics research for educational practice to its practical application in different educational domains. This book provides educators and researchers with the tools and frameworks to effectively make sense of and use data and analytics in their everyday practice. This book will be a valuable addition to researchers’ bookshelves.
Natural Language Processing with Java Cookbook by Richard M. Reese Pdf
A problem-solution guide to encounter various NLP tasks utilizing Java open source libraries and cloud-based solutions Key FeaturesPerform simple-to-complex NLP text processing tasks using modern Java libraries Extract relationships between different text complexities using a problem-solution approach Utilize cloud-based APIs to perform machine translation operationsBook Description Natural Language Processing (NLP) has become one of the prime technologies for processing very large amounts of unstructured data from disparate information sources. This book includes a wide set of recipes and quick methods that solve challenges in text syntax, semantics, and speech tasks. At the beginning of the book, you'll learn important NLP techniques, such as identifying parts of speech, tagging words, and analyzing word semantics. You will learn how to perform lexical analysis and use machine learning techniques to speed up NLP operations. With independent recipes, you will explore techniques for customizing your existing NLP engines/models using Java libraries such as OpenNLP and the Stanford NLP library. You will also learn how to use NLP processing features from cloud-based sources, including Google and Amazon’s AWS. You will master core tasks, such as stemming, lemmatization, part-of-speech tagging, and named entity recognition. You will also learn about sentiment analysis, semantic text similarity, language identification, machine translation, and text summarization. By the end of this book, you will be ready to become a professional NLP expert using a problem-solution approach to analyze any sort of text, sentences, or semantic words. What you will learnExplore how to use tokenizers in NLP processing Implement NLP techniques in machine learning and deep learning applications Identify sentences within the text and learn how to train specialized NER models Learn how to classify documents and perform sentiment analysis Find semantic similarities between text elements and extract text from a variety of sources Preprocess text from a variety of data sources Learn how to identify and translate languagesWho this book is for This book is for data scientists, NLP engineers, and machine learning developers who want to perform their work on linguistic applications faster with the use of popular libraries on JVM machines. This book will help you build real-world NLP applications using a recipe-based approach. Prior knowledge of Natural Language Processing basics and Java programming is expected.
Thanks to the digital revolution, even a traditional discipline like philology has been enjoying a renaissance within academia and beyond. Decades of work have been producing groundbreaking results, raising new research questions and creating innovative educational resources. This book describes the rapidly developing state of the art of digital philology with a focus on Ancient Greek and Latin, the classical languages of Western culture. Contributions cover a wide range of topics about the accessibility and analysis of Greek and Latin sources. The discussion is organized in five sections concerning open data of Greek and Latin texts; catalogs and citations of authors and works; data entry, collection and analysis for classical philology; critical editions and annotations of sources; and finally linguistic annotations and lexical databases. As a whole, the volume provides a comprehensive outline of an emergent research field for a new generation of scholars and students, explaining what is reachable and analyzable that was not before in terms of technology and accessibility.
Natural Language Processing with Java by Richard M. Reese,AshishSingh Bhatia Pdf
Explore various approaches to organize and extract useful text from unstructured data using Java Key Features Use deep learning and NLP techniques in Java to discover hidden insights in text Work with popular Java libraries such as CoreNLP, OpenNLP, and Mallet Explore machine translation, identifying parts of speech, and topic modeling Book Description Natural Language Processing (NLP) allows you to take any sentence and identify patterns, special names, company names, and more. The second edition of Natural Language Processing with Java teaches you how to perform language analysis with the help of Java libraries, while constantly gaining insights from the outcomes. You’ll start by understanding how NLP and its various concepts work. Having got to grips with the basics, you’ll explore important tools and libraries in Java for NLP, such as CoreNLP, OpenNLP, Neuroph, and Mallet. You’ll then start performing NLP on different inputs and tasks, such as tokenization, model training, parts-of-speech and parsing trees. You’ll learn about statistical machine translation, summarization, dialog systems, complex searches, supervised and unsupervised NLP, and more. By the end of this book, you’ll have learned more about NLP, neural networks, and various other trained models in Java for enhancing the performance of NLP applications. What you will learn Understand basic NLP tasks and how they relate to one another Discover and use the available tokenization engines Apply search techniques to find people, as well as things, within a document Construct solutions to identify parts of speech within sentences Use parsers to extract relationships between elements of a document Identify topics in a set of documents Explore topic modeling from a document Who this book is for Natural Language Processing with Java is for you if you are a data analyst, data scientist, or machine learning engineer who wants to extract information from a language using Java. Knowledge of Java programming is needed, while a basic understanding of statistics will be useful but not mandatory.
Do You Want To Start Programming Quickly? Are You Tired of Your Java Code Turning Out Wrong? Want to Become A Programming Master?If you have always wanted to know how to program, then this book is your ideal solution!The book, "Java: Java For Beginners Guide To Learn Java And Java Programming" , contains proven steps and strategies on how to learn basic programming in Java, including lesson summaries for easy reference and lessons at the end of each chapter to help you compound your new knowledge. Java is a simple language, object-oriented and incredibly easy to learn, provided you put your mind to it. Once you have learned the fundamental concepts and how to write the code, you will soon be programming like a pro!This book aims to teach you the basics of Java language in the simplest way possible. Unlike other resources, this book will not feed you with too many technicalities that might confuse you along the way. Each discussion was written in simple words. All exercises in this book were carefully chosen to be simple cases in order to make your Java practice easier.By reading this book you will gain an understanding of the basic concepts of Java Programming including: Conditional Statements Statements - Looping and Iteration Arrays Functions and Methods Classes and Objects Solutions to Exercises and Many More... This book brings you a concise, straight to the point, easy to follow code examples so you can begin coding in 24 hours or less. Invest in yourself, learn the Java basics, practice Java programming and you will be a programmer in no time. Begin your journey TODAY, No Prior Programming Experience Is Required!Don't wait! Download "Java: Java For Beginners Guide To Learn Java And Java Programming" Today and Get Started With Your New Programming Career!!
Introduction to Information Technology by Chris Koch Pdf
Science and technology have occupied almost all spheres of human life and living. The wonderful achievements of science and technology have glorified the modern world and transformed the civilization into a scientific and technological civilization. Considering the importance of science and technology, they have been incorporated in every stage of education. The present book deals with the teachers' role, possessing the vast knowledge of socialization, social class influences, the teaching ethics, new technologies, research perspective, use of internet, television, management and professional accreditation in information technology, etc. The book has in its contents much to help and guide the students to choose any one of the professional alternatives to decide the direction of their careers. This book, thus, provides many educational ideas for both teachers and students, and is a must for all educational institutions and interested persons as well.
The Art and Science of Analyzing Software Data by Christian Bird,Tim Menzies,Thomas Zimmermann Pdf
The Art and Science of Analyzing Software Data provides valuable information on analysis techniques often used to derive insight from software data. This book shares best practices in the field generated by leading data scientists, collected from their experience training software engineering students and practitioners to master data science. The book covers topics such as the analysis of security data, code reviews, app stores, log files, and user telemetry, among others. It covers a wide variety of techniques such as co-change analysis, text analysis, topic analysis, and concept analysis, as well as advanced topics such as release planning and generation of source code comments. It includes stories from the trenches from expert data scientists illustrating how to apply data analysis in industry and open source, present results to stakeholders, and drive decisions. Presents best practices, hints, and tips to analyze data and apply tools in data science projects Presents research methods and case studies that have emerged over the past few years to further understanding of software data Shares stories from the trenches of successful data science initiatives in industry
Programming for Corpus Linguistics by Oliver Mason Pdf
Specialised linguistic research needs can no longer be met by available software. This book enables the researcher to write programs for text and corpus processing, using the popular and easy to learn Java language.
Use Java and Deeplearning4j to build robust, scalable, and highly accurate AI models from scratch Key FeaturesInstall and configure Deeplearning4j to implement deep learning models from scratchExplore recipes for developing, training, and fine-tuning your neural network models in JavaModel neural networks using datasets containing images, text, and time-series dataBook Description Java is one of the most widely used programming languages in the world. With this book, you will see how to perform deep learning using Deeplearning4j (DL4J) – the most popular Java library for training neural networks efficiently. This book starts by showing you how to install and configure Java and DL4J on your system. You will then gain insights into deep learning basics and use your knowledge to create a deep neural network for binary classification from scratch. As you progress, you will discover how to build a convolutional neural network (CNN) in DL4J, and understand how to construct numeric vectors from text. This deep learning book will also guide you through performing anomaly detection on unsupervised data and help you set up neural networks in distributed systems effectively. In addition to this, you will learn how to import models from Keras and change the configuration in a pre-trained DL4J model. Finally, you will explore benchmarking in DL4J and optimize neural networks for optimal results. By the end of this book, you will have a clear understanding of how you can use DL4J to build robust deep learning applications in Java. What you will learnPerform data normalization and wrangling using DL4JBuild deep neural networks using DL4JImplement CNNs to solve image classification problemsTrain autoencoders to solve anomaly detection problems using DL4JPerform benchmarking and optimization to improve your model's performanceImplement reinforcement learning for real-world use cases using RL4JLeverage the capabilities of DL4J in distributed systemsWho this book is for If you are a data scientist, machine learning developer, or a deep learning enthusiast who wants to implement deep learning models in Java, this book is for you. Basic understanding of Java programming as well as some experience with machine learning and neural networks is required to get the most out of this book.
Leverage Natural Language Processing (NLP) in Python and learn how to set up your own robust environment for performing text analytics. This second edition has gone through a major revamp and introduces several significant changes and new topics based on the recent trends in NLP. You’ll see how to use the latest state-of-the-art frameworks in NLP, coupled with machine learning and deep learning models for supervised sentiment analysis powered by Python to solve actual case studies. Start by reviewing Python for NLP fundamentals on strings and text data and move on to engineering representation methods for text data, including both traditional statistical models and newer deep learning-based embedding models. Improved techniques and new methods around parsing and processing text are discussed as well. Text summarization and topic models have been overhauled so the book showcases how to build, tune, and interpret topic models in the context of an interest dataset on NIPS conference papers. Additionally, the book covers text similarity techniques with a real-world example of movie recommenders, along with sentiment analysis using supervised and unsupervised techniques. There is also a chapter dedicated to semantic analysis where you’ll see how to build your own named entity recognition (NER) system from scratch. While the overall structure of the book remains the same, the entire code base, modules, and chapters has been updated to the latest Python 3.x release. What You'll Learn • Understand NLP and text syntax, semantics and structure• Discover text cleaning and feature engineering• Review text classification and text clustering • Assess text summarization and topic models• Study deep learning for NLP Who This Book Is For IT professionals, data analysts, developers, linguistic experts, data scientists and engineers and basically anyone with a keen interest in linguistics, analytics and generating insights from textual data.
The Essential Guide to Learn Java FAST! This book is the essential guide for everyone wanting to build a strong foundation in Java. Including proven steps to learn the essentials of Java Programming. This book will get you coding fast! It highlights important concepts and strategies that will take you from being a complete beginner to a confident programmer. It provides a solid foundation for those wanting to become fully proficient in Python Programming. Java is one of the easiest and most powerful programming languages to master. It was designed keeping simplicity in mind and can be used to develop almost all kinds of web applications and even mobile games! This makes Java Programming very interactive, robust and popular among computer programmers. Pick up your copy to add tremendous value to your life today! Tags: Java, Java programing, Java exercise, Java reference, Java, Java course, Java book, Java Kindle, Java Beginners, learning Java, Java language, Java examples, Java tutorials, Java programming language, Java coding, Java programming for beginners, Java for Dummies, Java machine learning, Java beginners guide
Java: The Ultimate Beginners Guide to Learn Java Step by Step by Andy Richmond Pdf
Would you like to join today's world and understand the specifics of one of the most popular programming languages? Maybe you have only heard about Java and got some thoughts about trying it yourself? Or maybe you already want to get into Java programming but just don't know the absolute best way to start? If your answer is "Yes" to at least one of these questions, then keep reading... We are super excited to represent our most recent book: "JAVA" - the ultimate beginner's guide to learn Java step-by-step. A book designed and put together for people who want to start the learning process of Java programming and have little or no experience with it. Now, let's take a look at a few things you will learn from this book: Step-by-step Java programming instructions and complete plan for beginners Why should you choose Java above other programming languages? How to control the flow of Java program Mistakes to avoid and Top benefits of Java programming Many many more... Now, it is time to stop hesitating and start learning, so don't wait. Take action now, scroll up, click on "Buy Now" and start reading!
Developed by James Goslin and his team members for Sun Microsystems in 1995, Java is one of the most popular programming languages. It was developed for its use by the company in digital devices like set-top boxes, televisions etc. From then, no matter how many more developed languages have been launched in the market, Java has maintained it's ground based on two principal factors: - it is simple - it is portable WHAT I MEAN TO SAY IS: What I mean to say is that unlike other languages, Java provides both simple and advanced features sooner doesn't need to be a specialist to use it. Also, Java is platform- independent, any application written on one platform can be easily ported to another. DOWNLOAD: JAVA: A PRATICAL BEGINNERS GUIDE TO LEARN JAVA PROGRAMMING FUNDAMENTALS AND CODE The goal of this book is simple: it will help you learn the evergreen language in a detailed manner so that you don't face the troubles one may face while trying to learn the same without proper guidance and planning. You will also learn: Basic of java What is Java Virtual Machine Basic structure of a Java Program Code structure of Java Dates Types and Variables Java Data Structure and Algorithms Arrays in Java Strings in Java Would You Like To Know More? Download now to obtain a comprehensive knowledge of what Java is and how to get the optimum benefit from it. Scroll to the top of the page and select the buy now button.