The Text in the Machine
The Text in the Machine

Author: Toby Burrows

Publisher: CRC Press

Published: 1999-04-09

Total Pages: 214

ISBN-13: 9780789004246

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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.

The Machine Stops Illustrated
The Machine Stops Illustrated

Author: E M Forster

Publisher:

Published: 2020-12-31

Total Pages: 56

ISBN-13:

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"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.

Machine Learning for Text
Machine Learning for Text

Author: Charu C. Aggarwal

Publisher: Springer

Published: 2018-03-19

Total Pages: 510

ISBN-13: 3319735314

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Text analytics is a field that lies on the interface of information retrieval,machine learning, and natural language processing, and this textbook carefully covers a coherently organized framework drawn from these intersecting topics. The chapters of this textbook is organized into three categories: - Basic algorithms: Chapters 1 through 7 discuss the classical algorithms for machine learning from text such as preprocessing, similarity computation, topic modeling, matrix factorization, clustering, classification, regression, and ensemble analysis. - Domain-sensitive mining: Chapters 8 and 9 discuss the learning methods from text when combined with different domains such as multimedia and the Web. The problem of information retrieval and Web search is also discussed in the context of its relationship with ranking and machine learning methods. - Sequence-centric mining: Chapters 10 through 14 discuss various sequence-centric and natural language applications, such as feature engineering, neural language models, deep learning, text summarization, information extraction, opinion mining, text segmentation, and event detection. This textbook covers machine learning topics for text in detail. Since the coverage is extensive,multiple courses can be offered from the same book, depending on course level. Even though the presentation is text-centric, Chapters 3 to 7 cover machine learning algorithms that are often used indomains beyond text data. Therefore, the book can be used to offer courses not just in text analytics but also from the broader perspective of machine learning (with text as a backdrop). This textbook targets graduate students in computer science, as well as researchers, professors, and industrial practitioners working in these related fields. This textbook is accompanied with a solution manual for classroom teaching.

Text as Data
Text as Data

Author: Justin Grimmer

Publisher: Princeton University Press

Published: 2022-03-29

Total Pages: 360

ISBN-13: 0691207550

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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

Tell the Machine Goodnight
Tell the Machine Goodnight

Author: Katie Williams

Publisher: Penguin

Published: 2018-06-19

Total Pages: 209

ISBN-13: 0525533141

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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.

Text Mining with Machine Learning
Text Mining with Machine Learning

Author: Jan Žižka

Publisher: CRC Press

Published: 2019-10-31

Total Pages: 327

ISBN-13: 0429890265

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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.

Supervised Machine Learning for Text Analysis in R
Supervised Machine Learning for Text Analysis in R

Author: Emil Hvitfeldt

Publisher: CRC Press

Published: 2021-10-22

Total Pages: 402

ISBN-13: 1000461971

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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.

To Be a Machine
To Be a Machine

Author: Mark O'Connell

Publisher: Anchor

Published: 2017-02-28

Total Pages: 221

ISBN-13: 0385540426

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“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.

The Soft Machine
The Soft Machine

Author: William S. Burroughs

Publisher: Grove/Atlantic, Inc.

Published: 2011-02-24

Total Pages: 202

ISBN-13: 0802197213

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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.

Inside the Machine
Inside the Machine

Author: Jon Stokes

Publisher: No Starch Press

Published: 2007

Total Pages: 320

ISBN-13: 1593271042

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Om hvordan mikroprocessorer fungerer, med undersøgelse af de nyeste mikroprocessorer fra Intel, IBM og Motorola.