Download or read book The Text in the Machine written by Toby Burrows and published by CRC Press. This book was released on 1999-04-09 with total page 214 pages. Available in PDF, EPUB and Kindle. Book excerpt: The first comprehensive guide to explore the growing field of electronic information, The Text in the Machine: Electronic Texts in the Humanities will help you create and use electronic texts. This book explains the processes involved in developing computerized books on library Web sites, CD-ROMs, or your own Web site. With the information provided by The Text in the Machine, you?ll be able to successfully transfer written words to a digitized form and increase access to any kind of information. Keeping the perspectives of scholars, students, librarians, users, and publishers in mind, this book outlines the necessary steps for electronic conversion in a comprehensive manner. The Text in the Machine addresses many variables that need to be taken into consideration to help you digitize texts, such as: defining types of markup, markup systems, and their uses identifying characteristics of the written text, such as its linguistic and physical nature, before choosing a markup scheme ensuring accuracy in electronic texts by keying in information up to three times and choosing software that is compatible with the markup systems you are using examining the best file formats for scanning written texts and converting them to digital form explaining the delivery systems available for electronic texts, such as CD-ROMs, the Internet, magnetic tape, and the variety of software that will interpret these interfaces designing the structure of electronic texts with linear presentation, segmented text, or image files to increase readability and accessibility Containing lists of suggested readings and examples of electronic text Web sites, this book provides you with the opportunity to see how other libraries and scholars are creating and publishing digital texts. From The Text in the Machine, you?ll receive the knowledge to make this medium of information accessible and beneficial to patrons and scholars around the world.
Download or read book The Machine Stops Illustrated written by E M Forster and published by Independently Published. This book was released on 2022-02-25 with total page 46 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The Machine Stops" is a science fiction short story (12,300 words) by E. M. Forster. After initial publication in The Oxford and Cambridge Review (November 1909), the story was republished in Forster's The Eternal Moment and Other Stories in 1928. After being voted one of the best novellas up to 1965, it was included that same year in the populist anthology Modern Short Stories.[1] In 1973 it was also included in The Science Fiction Hall of Fame, Volume Two. The story, set in a world where humanity lives underground and relies on a giant machine to provide its needs, predicted technologies such as instant messaging and the Internet.
Download or read book Machine Learning for Text written by Charu C. Aggarwal and published by . This book was released on 2022 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: This second edition textbook covers a coherently organized framework for text analytics, which integrates material drawn from the intersecting topics of information retrieval, machine learning, and natural language processing. Particular importance is placed on deep learning methods. The chapters of this book span three broad categories: 1. Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for text analytics such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. 2. Domain-sensitive learning and information retrieval: Chapters 8 and 9 discuss learning models in heterogeneous settings such as a combination of text with multimedia or Web links. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. 3. Natural language processing: Chapters 10 through 16 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, transformers, pre-trained language models, text summarization, information extraction, knowledge graphs, question answering, opinion mining, text segmentation, and event detection. Compared to the first edition, this second edition textbook (which targets mostly advanced level students majoring in computer science and math) has substantially more material on deep learning and natural language processing. Significant focus is placed on topics like transformers, pre-trained language models, knowledge graphs, and question answering.
Download or read book Inside the Machine written by Jon Stokes and published by No Starch Press. This book was released on 2007 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Om hvordan mikroprocessorer fungerer, med undersøgelse af de nyeste mikroprocessorer fra Intel, IBM og Motorola.
Download or read book Supervised Machine Learning for Text Analysis in R written by Emil Hvitfeldt and published by CRC Press. This book was released on 2021-10-22 with total page 402 pages. Available in PDF, EPUB and Kindle. Book excerpt: Text data is important for many domains, from healthcare to marketing to the digital humanities, but specialized approaches are necessary to create features for machine learning from language. Supervised Machine Learning for Text Analysis in R explains how to preprocess text data for modeling, train models, and evaluate model performance using tools from the tidyverse and tidymodels ecosystem. Models like these can be used to make predictions for new observations, to understand what natural language features or characteristics contribute to differences in the output, and more. If you are already familiar with the basics of predictive modeling, use the comprehensive, detailed examples in this book to extend your skills to the domain of natural language processing. This book provides practical guidance and directly applicable knowledge for data scientists and analysts who want to integrate unstructured text data into their modeling pipelines. Learn how to use text data for both regression and classification tasks, and how to apply more straightforward algorithms like regularized regression or support vector machines as well as deep learning approaches. Natural language must be dramatically transformed to be ready for computation, so we explore typical text preprocessing and feature engineering steps like tokenization and word embeddings from the ground up. These steps influence model results in ways we can measure, both in terms of model metrics and other tangible consequences such as how fair or appropriate model results are.
Download or read book Text as Data written by Justin Grimmer and published by Princeton University Press. This book was released on 2022-03-29 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: A guide for using computational text analysis to learn about the social world From social media posts and text messages to digital government documents and archives, researchers are bombarded with a deluge of text reflecting the social world. This textual data gives unprecedented insights into fundamental questions in the social sciences, humanities, and industry. Meanwhile new machine learning tools are rapidly transforming the way science and business are conducted. Text as Data shows how to combine new sources of data, machine learning tools, and social science research design to develop and evaluate new insights. Text as Data is organized around the core tasks in research projects using text—representation, discovery, measurement, prediction, and causal inference. The authors offer a sequential, iterative, and inductive approach to research design. Each research task is presented complete with real-world applications, example methods, and a distinct style of task-focused research. Bridging many divides—computer science and social science, the qualitative and the quantitative, and industry and academia—Text as Data is an ideal resource for anyone wanting to analyze large collections of text in an era when data is abundant and computation is cheap, but the enduring challenges of social science remain. Overview of how to use text as data Research design for a world of data deluge Examples from across the social sciences and industry
Download or read book The Perpetual Motion Machine written by Brittany Ackerman and published by . This book was released on 2018 with total page 152 pages. Available in PDF, EPUB and Kindle. Book excerpt: Inspired by a brother's high school science project--a perpetual motion machine that could save the world-- The Perpetual Motion Machine is a memoir in essays that attempts to save a sibling by depicting the visceral pain that accompanies longing for some past impossibility. The collection has been a science project in its study of memory, in the calculation and plotting of the moments that make up a childhood. The preparation has been "in the field" in that it is built upon the gathering of lived experience; the evidence is photo albums, family interviews, and anecdotes from friends. The project has been one giant experiment--to see if they can all make it out alive.
Download or read book Tell the Machine Goodnight written by Katie Williams and published by Penguin. This book was released on 2019-06-18 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: FINALIST FOR 2018 KIRKUS PRIZE NAMED ONE OF THE "BEST LITERARY FICTION OF 2018' BY KIRKUS REVIEWS "Sci-fi in its most perfect expression…Reading it is like having a lucid dream of six years from next week, filled with people you don't know, but will." —NPR "[Williams’s] wit is sharp, but her touch is light, and her novel is a winner." – San Francisco Chronicle "Between seasons of Black Mirror, look to Katie Williams' debut novel." —Refinery29 Smart and inventive, a page-turner that considers the elusive definition of happiness. Pearl's job is to make people happy. As a technician for the Apricity Corporation, with its patented happiness machine, she provides customers with personalized recommendations for greater contentment. She's good at her job, her office manager tells her, successful. But how does one measure an emotion? Meanwhile, there's Pearl's teenage son, Rhett. A sensitive kid who has forged an unconventional path through adolescence, Rhett seems to find greater satisfaction in being unhappy. The very rejection of joy is his own kind of "pursuit of happiness." As his mother, Pearl wants nothing more than to help Rhett--but is it for his sake or for hers? Certainly it would make Pearl happier. Regardless, her son is one person whose emotional life does not fall under the parameters of her job--not as happiness technician, and not as mother, either. Told from an alternating cast of endearing characters from within Pearl and Rhett's world, Tell the Machine Goodnight delivers a smartly moving and entertaining story about the advance of technology and the ways that it can most surprise and define us. Along the way, Katie Williams playfully illuminates our national obsession with positive psychology, our reliance on quick fixes. What happens when these obsessions begin to overlap? With warmth, humor, and a clever touch, Williams taps into our collective unease about the modern world and allows us see it a little more clearly.
Download or read book Women and the Machine written by Julie Wosk and published by JHU Press. This book was released on 2001 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: Julie Wosk examines the role of machines in helping women reconfigure and transform their lives. She takes her readers through a gallery of fiction and high and low art which depicts women in their association with machines.
Download or read book Wilma Jean the Worry Machine written by Julia Cook and published by National Center for Youth Issues. This book was released on 2012-01-15 with total page 33 pages. Available in PDF, EPUB and Kindle. Book excerpt: "My stomach feels like it's tied up in a knot. My knees lock up, and my face feels hot. You know what I mean? I'm Wilma Jean, The Worry Machine." Anxiety is a subjective sense of worry, apprehension, and/or fear. It is considered to be the number one health problem in America. Although quite common, anxiety disorders in children are often misdiagnosed and overlooked. Everyone feels fear, worry and apprehension from time to time, but when these feelings prevent a person from doing what he/she wants and/or needs to do, anxiety becomes a disability. This fun and humorous book addresses the problem of anxiety in a way that relates to children of all ages. It offers creative strategies for parents and teachers to use that can lessen the severity of anxiety. The goal of the book is to give children the tools needed to feel more in control of their anxiety. For those worries that are not in anyone's control (i.e. the weather) a worry hat is introduced. A fun read for Wilmas of all ages! Includes a note to parents and educators with tips on dealing with an anxious child.
Download or read book To Be a Machine written by Mark O'Connell and published by Anchor. This book was released on 2017-02-28 with total page 221 pages. Available in PDF, EPUB and Kindle. Book excerpt: “This gonzo-journalistic exploration of the Silicon Valley techno-utopians’ pursuit of escaping mortality is a breezy romp full of colorful characters.” —New York Times Book Review (Editor's Choice) Transhumanism is a movement pushing the limits of our bodies—our capabilities, intelligence, and lifespans—in the hopes that, through technology, we can become something better than ourselves. It has found support among Silicon Valley billionaires and some of the world’s biggest businesses. In To Be a Machine, journalist Mark O'Connell explores the staggering possibilities and moral quandaries that present themselves when you of think of your body as a device. He visits the world's foremost cryonics facility to witness how some have chosen to forestall death. He discovers an underground collective of biohackers, implanting electronics under their skin to enhance their senses. He meets a team of scientists urgently investigating how to protect mankind from artificial superintelligence. Where is our obsession with technology leading us? What does the rise of AI mean not just for our offices and homes, but for our humanity? Could the technologies we create to help us eventually bring us to harm? Addressing these questions, O'Connell presents a profound, provocative, often laugh-out-loud-funny look at an influential movement. In investigating what it means to be a machine, he offers a surprising meditation on what it means to be human.
Download or read book Text Mining with Machine Learning written by Jan Žižka and published by CRC Press. This book was released on 2019-10-31 with total page 327 pages. Available in PDF, EPUB and Kindle. Book excerpt: This book provides a perspective on the application of machine learning-based methods in knowledge discovery from natural languages texts. By analysing various data sets, conclusions which are not normally evident, emerge and can be used for various purposes and applications. The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step demonstrations of how to reveal the semantic contents in real-world datasets using the popular R-language with its implemented machine learning algorithms. The book is not only aimed at IT specialists, but is meant for a wider audience that needs to process big sets of text documents and has basic knowledge of the subject, e.g. e-mail service providers, online shoppers, librarians, etc. The book starts with an introduction to text-based natural language data processing and its goals and problems. It focuses on machine learning, presenting various algorithms with their use and possibilities, and reviews the positives and negatives. Beginning with the initial data pre-processing, a reader can follow the steps provided in the R-language including the subsuming of various available plug-ins into the resulting software tool. A big advantage is that R also contains many libraries implementing machine learning algorithms, so a reader can concentrate on the principal target without the need to implement the details of the algorithms her- or himself. To make sense of the results, the book also provides explanations of the algorithms, which supports the final evaluation and interpretation of the results. The examples are demonstrated using realworld data from commonly accessible Internet sources.
Download or read book When the Machine Stopped written by Max Holland and published by Harvard Business Review Press. This book was released on 1989 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Download or read book Against the Machine written by Nicols Fox and published by Island Press. This book was released on 2013-04-15 with total page 424 pages. Available in PDF, EPUB and Kindle. Book excerpt: From the cars we drive to the instant messages we receive, from debate about genetically modified foods to astonishing strides in cloning, robotics, and nanotechnology, it would be hard to deny technology's powerful grip on our lives. To stop and ask whether this digitized, implanted reality is quite what we had in mind when we opted for progress, or to ask if we might not be creating more problems than we solve, is likely to peg us as hopelessly backward or suspiciously eccentric. Yet not only questioning, but challenging technology turns out to have a long and noble history. In this timely and incisive work, Nicols Fox examines contemporary resistance to technology and places it in a surprising historical context. She brilliantly illuminates the rich but oftentimes unrecognized literary and philosophical tradition that has existed for nearly two centuries, since the first Luddites—the ""machine breaking"" followers of the mythical Ned Ludd—lifted their sledgehammers in protest against the Industrial Revolution. Tracing that current of thought through some of the great minds of the 19th and 20th centuries—William Blake, Mary Shelley, Charles Dickens, John Ruskin, William Morris, Henry David Thoreau, Ralph Waldo Emerson, Robert Graves, Aldo Leopold, Rachel Carson, and many others—Fox demonstrates that modern protests against consumptive lifestyles and misgivings about the relentless march of mechanization are part of a fascinating hidden history. She shows as well that the Luddite tradition can yield important insights into how we might reshape both technology and modern life so that human, community, and environmental values take precedence over the demands of the machine. In Against the Machine, Nicols Fox writes with compelling immediacy—bringing a new dimension and depth to the debate over what technology means, both now and for our future.
Download or read book Klara and the Sun written by Kazuo Ishiguro and published by Vintage. This book was released on 2021-03-02 with total page 273 pages. Available in PDF, EPUB and Kindle. Book excerpt: NEW YORK TIMES BESTSELLER • Once in a great while, a book comes along that changes our view of the world. This magnificent novel from the Nobel laureate and author of Never Let Me Go is “an intriguing take on how artificial intelligence might play a role in our futures ... a poignant meditation on love and loneliness” (The Associated Press). • A GOOD MORNING AMERICA Book Club Pick! Here is the story of Klara, an Artificial Friend with outstanding observational qualities, who, from her place in the store, watches carefully the behavior of those who come in to browse, and of those who pass on the street outside. She remains hopeful that a customer will soon choose her. Klara and the Sun is a thrilling book that offers a look at our changing world through the eyes of an unforgettable narrator, and one that explores the fundamental question: what does it mean to love?
Download or read book The Soft Machine written by William S. Burroughs and published by Grove/Atlantic, Inc.. This book was released on 2011-02-24 with total page 202 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Naked Lunch, William S. Burroughs revealed his genius. In The Soft Machine he begins an adventure that will take us even further into the dark recesses of his imagination, a region where nothing is sacred, nothing taboo. Continuing his ferocious verbal assault on hatred, hype, poverty, war, bureaucracy, and addiction in all its forms, Burroughs gives us a surreal space odyssey through the wounded galaxies in a book only he could create.
Download or read book Applied Text Analysis with Python written by Benjamin Bengfort and published by "O'Reilly Media, Inc.". This book was released on 2018-06-11 with total page 328 pages. Available in PDF, EPUB and Kindle. Book excerpt: From news and speeches to informal chatter on social media, natural language is one of the richest and most underutilized sources of data. Not only does it come in a constant stream, always changing and adapting in context; it also contains information that is not conveyed by traditional data sources. The key to unlocking natural language is through the creative application of text analytics. This practical book presents a data scientist’s approach to building language-aware products with applied machine learning. You’ll learn robust, repeatable, and scalable techniques for text analysis with Python, including contextual and linguistic feature engineering, vectorization, classification, topic modeling, entity resolution, graph analysis, and visual steering. By the end of the book, you’ll be equipped with practical methods to solve any number of complex real-world problems. Preprocess and vectorize text into high-dimensional feature representations Perform document classification and topic modeling Steer the model selection process with visual diagnostics Extract key phrases, named entities, and graph structures to reason about data in text Build a dialog framework to enable chatbots and language-driven interaction Use Spark to scale processing power and neural networks to scale model complexity
