History playground: A tool for discovering temporal trends in massive textual corpora.
Recent studies have shown that macroscopic patterns of continuity and change over the course of centuries can be detected through the analysis of time series extracted from massive textual corpora. Similar data-driven approaches have already revolutionized the natural sciences and are widely believe...
| Publicado en: | Digital Scholarship in the Humanities Vol. 35; no. 2; pp. 328 - 342 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Jun2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=hlh&AN=144382991&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 144382991 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 2055768X JEO9 jtl: Digital Scholarship in the Humanities issn: 2055768X maglogo: N pubinfo: dt: Jun2020 vid: 35 iid: 2 pid: 622 pub: Oxford University Press / USA artinfo: ui: 144382991 10.1093/llc/fqy077 ppf: 328 ppct: 14 formats: fmt: – @attributes: type: T – @attributes: type: P size: 577KB tig: atl: History playground: A tool for discovering temporal trends in massive textual corpora. aug: au: Lansdall-Welfare, Thomas Cristianini, Nello affil: Intelligent Systems Laboratory , Department of Engineering Mathematics, University of Bristol, Bristol, UK su: User interfaces Corpora Digitization Playgrounds Standardization Algorithms sug: subj: User interfaces Corpora Digitization Playgrounds Standardization Algorithms ab: Recent studies have shown that macroscopic patterns of continuity and change over the course of centuries can be detected through the analysis of time series extracted from massive textual corpora. Similar data-driven approaches have already revolutionized the natural sciences and are widely believed to hold similar potential for the humanities and social sciences, driven by the mass-digitization projects that are currently under way, and coupled with the ever-increasing number of documents which are 'born digital'. As such, new interactive tools are required to discover and extract macroscopic patterns from these vast quantities of textual data. Here we present History Playground, an interactive web-based tool for discovering trends in massive textual corpora. The tool makes use of scalable algorithms to first extract trends from textual corpora, before making them available for real-time search and discovery, presenting users with an interface to explore the data. Included in the tool are algorithms for standardization, regression, change-point detection in the relative frequencies of n-grams, multi-term indices, and comparison of trends across different corpora. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Digital Scholarship in the Humanities holder: Oxford University Press / USA dt: @attributes: year: 2020 holdings: @attributes: islocal: N |
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