Literary mathematics :: quantitative theory for textual studies /
"Across the humanities and social sciences, scholars increasingly use quantitative methods to study textual data. Considered together, this research represents an extraordinary event in the long history of textuality. More or less all at once, the "corpus" has emerged as a major genre...
Gespeichert in:
| 1. Verfasser: | |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Stanford, California :
Stanford University Press,
[2023]
|
| Schriftenreihe: | Text technologies.
|
| Schlagworte: | |
| Online-Zugang: | Volltext |
| Zusammenfassung: | "Across the humanities and social sciences, scholars increasingly use quantitative methods to study textual data. Considered together, this research represents an extraordinary event in the long history of textuality. More or less all at once, the "corpus" has emerged as a major genre of cultural and scientific knowledge. In "Literary Mathematics," Michael Gavin grapples with this development, describing how quantitative methods for the study of textual data offer powerful tools for historical inquiry and sometimes unexpected perspectives on theoretical issues of concern to literary studies. Student-friendly and accessible, the book advances this argument through case studies drawn from the "Early English Books Online" corpus. Gavin shows how a co-publication network of printers and authors reveals an uncannily accurate picture of historical periodization; that a vector-space semantic model parses historical concepts in incredibly fine detail; and that a geospatial analysis of early modern discourse offers a surprising panoramic glimpse into the period's notion of world geography. Across these case studies, Gavin challenges readers to consider why corpus-based methods work so effectively and asks whether the successes of formal modeling ought to inspire humanists to reconsider fundamental theoretical assumptions about textuality and meaning. As Gavin reveals, by embracing the expressive power of mathematics, scholars can add new dimensions to digital humanities research and find new connections with the social sciences"-- |
| Beschreibung: | 1 online resource (x, 266 pages) : illustrations. |
| Bibliographie: | Includes bibliographical references and index. |
| ISBN: | 9781503633919 1503633918 |
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| 520 | |a "Across the humanities and social sciences, scholars increasingly use quantitative methods to study textual data. Considered together, this research represents an extraordinary event in the long history of textuality. More or less all at once, the "corpus" has emerged as a major genre of cultural and scientific knowledge. In "Literary Mathematics," Michael Gavin grapples with this development, describing how quantitative methods for the study of textual data offer powerful tools for historical inquiry and sometimes unexpected perspectives on theoretical issues of concern to literary studies. Student-friendly and accessible, the book advances this argument through case studies drawn from the "Early English Books Online" corpus. Gavin shows how a co-publication network of printers and authors reveals an uncannily accurate picture of historical periodization; that a vector-space semantic model parses historical concepts in incredibly fine detail; and that a geospatial analysis of early modern discourse offers a surprising panoramic glimpse into the period's notion of world geography. Across these case studies, Gavin challenges readers to consider why corpus-based methods work so effectively and asks whether the successes of formal modeling ought to inspire humanists to reconsider fundamental theoretical assumptions about textuality and meaning. As Gavin reveals, by embracing the expressive power of mathematics, scholars can add new dimensions to digital humanities research and find new connections with the social sciences"-- |c Provided by publisher. | ||
| 588 | |a Description based on online resource; title from digital title page (viewed on September 30, 2022). | ||
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| contents | Introduction : the corpus as an object of study -- Networks and the study of bibliographic metadata -- The computation of meaning -- Conceptual topography -- Principles of literary mathematics -- Conclusion : similar words tend to appear in documents with similar metadata. |
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| illustrated | Illustrated |
| indexdate | 2024-11-27T13:30:31Z |
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| isbn | 9781503633919 1503633918 |
| language | English |
| lccn | 2022005506 |
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| physical | 1 online resource (x, 266 pages) : illustrations. |
| psigel | ZDB-4-EBA |
| publishDate | 2023 |
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| publisher | Stanford University Press, |
| record_format | marc |
| series | Text technologies. |
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| spelling | Gavin, Michael, author. http://id.loc.gov/authorities/names/n2015000268 Literary mathematics : quantitative theory for textual studies / Michael Gavin. Stanford, California : Stanford University Press, [2023] 1 online resource (x, 266 pages) : illustrations. text txt rdacontent computer c rdamedia online resource cr rdacarrier Stanford text technologies Includes bibliographical references and index. Introduction : the corpus as an object of study -- Networks and the study of bibliographic metadata -- The computation of meaning -- Conceptual topography -- Principles of literary mathematics -- Conclusion : similar words tend to appear in documents with similar metadata. "Across the humanities and social sciences, scholars increasingly use quantitative methods to study textual data. Considered together, this research represents an extraordinary event in the long history of textuality. More or less all at once, the "corpus" has emerged as a major genre of cultural and scientific knowledge. In "Literary Mathematics," Michael Gavin grapples with this development, describing how quantitative methods for the study of textual data offer powerful tools for historical inquiry and sometimes unexpected perspectives on theoretical issues of concern to literary studies. Student-friendly and accessible, the book advances this argument through case studies drawn from the "Early English Books Online" corpus. Gavin shows how a co-publication network of printers and authors reveals an uncannily accurate picture of historical periodization; that a vector-space semantic model parses historical concepts in incredibly fine detail; and that a geospatial analysis of early modern discourse offers a surprising panoramic glimpse into the period's notion of world geography. Across these case studies, Gavin challenges readers to consider why corpus-based methods work so effectively and asks whether the successes of formal modeling ought to inspire humanists to reconsider fundamental theoretical assumptions about textuality and meaning. As Gavin reveals, by embracing the expressive power of mathematics, scholars can add new dimensions to digital humanities research and find new connections with the social sciences"-- Provided by publisher. Description based on online resource; title from digital title page (viewed on September 30, 2022). Early English books online. http://id.loc.gov/authorities/names/no2003075523 Digital humanities Case studies. Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Sciences humaines numériques Études de cas. Recherche quantitative. Digital humanities fast Quantitative research fast Case studies fast Print version: Gavin, Michael. Literary mathematics Stanford, California : Stanford University Press, [2022] 9781503632820 (DLC) 2022005505 Text technologies. http://id.loc.gov/authorities/names/no2019016448 FWS01 ZDB-4-EBA FWS_PDA_EBA https://search.ebscohost.com/login.aspx?direct=true&scope=site&db=nlebk&AN=3358917 Volltext |
| spellingShingle | Gavin, Michael Literary mathematics : quantitative theory for textual studies / Text technologies. Introduction : the corpus as an object of study -- Networks and the study of bibliographic metadata -- The computation of meaning -- Conceptual topography -- Principles of literary mathematics -- Conclusion : similar words tend to appear in documents with similar metadata. Early English books online. http://id.loc.gov/authorities/names/no2003075523 Digital humanities Case studies. Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Sciences humaines numériques Études de cas. Recherche quantitative. Digital humanities fast Quantitative research fast |
| subject_GND | http://id.loc.gov/authorities/names/no2003075523 http://id.loc.gov/authorities/subjects/sh2007000909 |
| title | Literary mathematics : quantitative theory for textual studies / |
| title_auth | Literary mathematics : quantitative theory for textual studies / |
| title_exact_search | Literary mathematics : quantitative theory for textual studies / |
| title_full | Literary mathematics : quantitative theory for textual studies / Michael Gavin. |
| title_fullStr | Literary mathematics : quantitative theory for textual studies / Michael Gavin. |
| title_full_unstemmed | Literary mathematics : quantitative theory for textual studies / Michael Gavin. |
| title_short | Literary mathematics : |
| title_sort | literary mathematics quantitative theory for textual studies |
| title_sub | quantitative theory for textual studies / |
| topic | Early English books online. http://id.loc.gov/authorities/names/no2003075523 Digital humanities Case studies. Quantitative research. http://id.loc.gov/authorities/subjects/sh2007000909 Sciences humaines numériques Études de cas. Recherche quantitative. Digital humanities fast Quantitative research fast |
| topic_facet | Early English books online. Digital humanities Case studies. Quantitative research. Sciences humaines numériques Études de cas. Recherche quantitative. Digital humanities Quantitative research Case studies |
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