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Author: Jörg Piringer
Publisher: Counterpath
ISBN: 1933996749
Category : Poetry
Languages : en
Pages : 146
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Book Description
Data Poetry is a collection of short computer-generated texts and visual poems that explore the technologies and concepts of the digital world. Jörg Piringer uses concepts that enable smart phones to understand language, that help email programs to filter out spam messages, and that help websites to translate texts: but he tricks them all into creating playful poetry. In Data Poetry, an artificial intelligence explains how it would write a book if it were allowed to, a program learns how to write nonsense proverbs, automatic translators reveal their gender bias, and internet searches expose the secret wishes of twitter users. The book is at once an artistic and entertaining perspective on the influence of digital language technology and its consequences.
Author: Jörg Piringer
Publisher: Counterpath
ISBN: 1933996749
Category : Poetry
Languages : en
Pages : 146
Get Book Here
Book Description
Data Poetry is a collection of short computer-generated texts and visual poems that explore the technologies and concepts of the digital world. Jörg Piringer uses concepts that enable smart phones to understand language, that help email programs to filter out spam messages, and that help websites to translate texts: but he tricks them all into creating playful poetry. In Data Poetry, an artificial intelligence explains how it would write a book if it were allowed to, a program learns how to write nonsense proverbs, automatic translators reveal their gender bias, and internet searches expose the secret wishes of twitter users. The book is at once an artistic and entertaining perspective on the influence of digital language technology and its consequences.
Author: Chet'la Sebree
Publisher: FSG Originals
ISBN: 0374722641
Category : Poetry
Languages : en
Pages : 109
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Book Description
Winner of the 2020 James Laughlin Award from the Academy of American Poets "Layered, complex, and infinitely compelling, Chet’la Sebree’s Field Study is a daring exploration of the self and our interactions with others—a meditation on desire, race, loss and survival." --Natasha Trethewey, Pulitzer Prize-winning author of Memorial Drive Chet’la Sebree’s Field Study is a genre-bending exploration of black womanhood and desire, written as a lyrical, surprisingly humorous, and startlingly vulnerable prose poem I am society’s eraser shards—bits used to fix other people’s sh*t, then discarded. Somehow still a wet nurse, from actual babes to Alabama special elections. Seeking to understand the fallout of her relationship with a white man, the poet Chet’la Sebree attempts a field study of herself. Scientifically, field studies are objective collections of raw data, devoid of emotion. But during the course of a stunning lyric poem, Sebree’s control over her own field study unravels as she attempts to understand the depth of her feelings in response to the data of her life. The result is a singular and provocative piece of writing, one that is formally inventive, playfully candid, and soul-piercingly sharp. Interspersing her reflections with Tweets, quips from TV characters, and excerpts from the Black thinkers—Audre Lorde, Maya Angelou, Tressie McMillan Cottom—that inspire her, Sebree analyzes herself through the lens of a society that seems uneasy, at best, with her very presence. She grapples with her attraction to, and rejection of, whiteness and white men; probes the malicious manifestation of colorism and misogynoir throughout American history and media; and struggles with, judges, and forgives herself when she has more questions than answers. “Even as I accrue these notes,” Sebree writes, “I’m still not sure I’ve found the pulse.” A poem of love, heartbreak, womanhood, art, sex, Blackness, and America—sometimes all at once—Field Study throbs with feeling, searing and tender. With uncommon sensitivity and precise storytelling, Sebree makes meaning out of messiness and malaise, breathing life into a scientific study like no other.
Author: Ileana Baird
Publisher: Springer Nature
ISBN: 3030549135
Category : Literary Criticism
Languages : en
Pages : 385
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Book Description
Data Visualization in Enlightenment Literature and Culture explores the new interpretive possibilities offered by using data visualization in eighteenth-century studies. Such visualizations include tabulations, charts, k-means clustering, topic modeling, network graphs, data mapping, and/or other illustrations of patterns of social or intellectual exchange. The contributions to this collection present groundbreaking research of texts and/or cultural trends emerging from data mined from existing databases and other aggregates of sources. Describing both small and large digital projects by scholars in visual arts, history, musicology, and literary studies, this collection addresses the benefits and challenges of employing digital tools, as well as their potential use in the classroom. Chapters 1, 3, 8 and 10 are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Author: Catherine D'Ignazio
Publisher: MIT Press
ISBN: 0262358530
Category : Social Science
Languages : en
Pages : 328
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Book Description
A new way of thinking about data science and data ethics that is informed by the ideas of intersectional feminism. Today, data science is a form of power. It has been used to expose injustice, improve health outcomes, and topple governments. But it has also been used to discriminate, police, and surveil. This potential for good, on the one hand, and harm, on the other, makes it essential to ask: Data science by whom? Data science for whom? Data science with whose interests in mind? The narratives around big data and data science are overwhelmingly white, male, and techno-heroic. In Data Feminism, Catherine D'Ignazio and Lauren Klein present a new way of thinking about data science and data ethics—one that is informed by intersectional feminist thought. Illustrating data feminism in action, D'Ignazio and Klein show how challenges to the male/female binary can help challenge other hierarchical (and empirically wrong) classification systems. They explain how, for example, an understanding of emotion can expand our ideas about effective data visualization, and how the concept of invisible labor can expose the significant human efforts required by our automated systems. And they show why the data never, ever “speak for themselves.” Data Feminism offers strategies for data scientists seeking to learn how feminism can help them work toward justice, and for feminists who want to focus their efforts on the growing field of data science. But Data Feminism is about much more than gender. It is about power, about who has it and who doesn't, and about how those differentials of power can be challenged and changed.
Author: Andrew Piper
Publisher: University of Chicago Press
ISBN: 022656889X
Category : Literary Criticism
Languages : en
Pages : 258
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Book Description
For well over a century, academic disciplines have studied human behavior using quantitative information. Until recently, however, the humanities have remained largely immune to the use of data—or vigorously resisted it. Thanks to new developments in computer science and natural language processing, literary scholars have embraced the quantitative study of literary works and have helped make Digital Humanities a rapidly growing field. But these developments raise a fundamental, and as yet unanswered question: what is the meaning of literary quantity? In Enumerations, Andrew Piper answers that question across a variety of domains fundamental to the study of literature. He focuses on the elementary particles of literature, from the role of punctuation in poetry, the matter of plot in novels, the study of topoi, and the behavior of characters, to the nature of fictional language and the shape of a poet’s career. How does quantity affect our understanding of these categories? What happens when we look at 3,388,230 punctuation marks, 1.4 billion words, or 650,000 fictional characters? Does this change how we think about poetry, the novel, fictionality, character, the commonplace, or the writer’s career? In the course of answering such questions, Piper introduces readers to the analytical building blocks of computational text analysis and brings them to bear on fundamental concerns of literary scholarship. This book will be essential reading for anyone interested in Digital Humanities and the future of literary study.
Author: R. H. Baayen
Publisher: Cambridge University Press
ISBN: 1139470736
Category : Language Arts & Disciplines
Languages : en
Pages : 40
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Book Description
Statistical analysis is a useful skill for linguists and psycholinguists, allowing them to understand the quantitative structure of their data. This textbook provides a straightforward introduction to the statistical analysis of language. Designed for linguists with a non-mathematical background, it clearly introduces the basic principles and methods of statistical analysis, using 'R', the leading computational statistics programme. The reader is guided step-by-step through a range of real data sets, allowing them to analyse acoustic data, construct grammatical trees for a variety of languages, quantify register variation in corpus linguistics, and measure experimental data using state-of-the-art models. The visualization of data plays a key role, both in the initial stages of data exploration and later on when the reader is encouraged to criticize various models. Containing over 40 exercises with model answers, this book will be welcomed by all linguists wishing to learn more about working with and presenting quantitative data.
Author:
Publisher:
ISBN:
Category : Science
Languages : en
Pages : 358
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Book Description
Author: Ying Tan
Publisher: Springer Nature
ISBN: 9811989915
Category : Computers
Languages : en
Pages : 474
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Book Description
This two-volume set, CCIS 1744 and CCIS 1745 book constitutes the 7th International Conference, on Data Mining and Big Data, DMBD 2022, held in Beijing, China, in November 21–24, 2022. The 62 full papers presented in this two-volume set included in this book were carefully reviewed and selected from 135 submissions. The papers present the latest research on advantages in theories, technologies, and applications in data mining and big data. The volume covers many aspects of data mining and big data as well as intelligent computing methods applied to all fields of computer science, machine learning, data mining and knowledge discovery, data science, etc.
Author: Chris Tanasescu
Publisher: Taylor & Francis
ISBN: 104003800X
Category : Computers
Languages : en
Pages : 281
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Book Description
Literature and Computation presents some of the most relevantly innovative recent approaches to literary practice, theory, and criticism as driven by computation and situated in digital environments. These approaches rely on automated analyses, but use them creatively, engage in text modeling but inform it with qualitative[-interpretive] critical possibilities, and contribute to present-day platform culture in revolutionizing intermedial ways. While such new directions involve more and more sophisticated machine learning and artificial intelligence, they also mark a spectacular return of the (trans)human(istic) and of traditional-modern literary or urgent political, gender, and minority-related concerns and modes now addressed in ever subtler and more nuanced ways within human-computer interaction frameworks. Expanding the boundaries of literary and data studies, digital humanities, and electronic literature, the featured contributions unveil an emerging landscape of trailblazing practice and theoretical crossovers ready and able to spawn and/or chart the witness literature of our age and cultures.
Author: Maria K. E. Lahman
Publisher: SAGE Publications
ISBN: 1071875213
Category : Social Science
Languages : en
Pages : 565
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Book Description
This engaging introduction to all aspects of qualitative research challenges students to consider how their research can be culturally responsive. The first part of the book introduces the foundations including theory, ethics, and reflexivity, with an emphasis on multiple methodologies, from traditional to critical and cutting-edge. The second part covers practical guidance from writing proposals to data collection, and includes a chapter dedicated to creating a culturally responsive relationship with research participants. Finally, readers engage with how the quality of research is enhanced, how data are analyzed, and how research accounts are created and disseminated. Areas vital to the health of qualitative research are addressed including systemic racism and cultural humility, with cutting-edge suggestions offered in areas like hybrid research, harnessing technology, and use of social media. Multiple identities are centered in examples throughout including race, gender, and those who are hard to reach or seldom heard in research. Textboxes featuring scholars, student researchers, and community members invite readers into dialogue in an area that is contested, swiftly shifting, and always vibrant with potential.
