Mining millions of metaphors.
One of the first decisions made in any research concerns the selection of an appropriate scale of analysis-are we looking out into the heavens, or down into atoms? To conceive a digital library as a collection of a million books may restrict analysis to only one level of granularity. In this article...
| Publicado en: | Literary & Linguistic Computing Vol. 23; no. 3; pp. 345 - 361 |
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| Autores principales: | , |
| Formato: | Artículo |
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Oxford University Press / USA
Sep2008
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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=35574714&site=ehost-live header: @attributes: shortDbName: hlh uiTerm: 35574714 longDbName: Humanities International Complete uiTag: AN controlInfo: bkinfo: jinfo: jid: 02681145 BJ1 jtl: Literary & Linguistic Computing issn: 02681145 maglogo: N pubinfo: dt: Sep2008 vid: 23 iid: 3 pid: 622 pub: Oxford University Press / USA artinfo: ui: 35574714 10.1093/llc/fqn010 ppf: 345 ppct: 16 formats: fmt: @attributes: type: P size: 212KB tig: atl: Mining millions of metaphors. aug: au: Pasanek, Brad Sculley, D. affil: University of Virginia, Charlottesville, USA Department of computer Science, Tufts University, Medford, USA su: Digital library access control Digital library collection development Metaphor Database administration Text processing (Computer science) Programming languages Computer-aided design Computer assisted instruction Human-computer interaction Education sug: subj: Digital library access control Digital library collection development Metaphor Database administration Text processing (Computer science) Programming languages Computer-aided design Computer assisted instruction Human-computer interaction Education ab: One of the first decisions made in any research concerns the selection of an appropriate scale of analysis-are we looking out into the heavens, or down into atoms? To conceive a digital library as a collection of a million books may restrict analysis to only one level of granularity. In this article, we examine the consequences and opportunities resulting from a shift in scale, where the desired unit of interpretation is something smaller than a text: it is a keyword, a motif, or a metaphor. A million books distilled into a billion meaningful components become raw material for a history of language, literature, and thought that has never before been possible. While books herded into genres and organized by period remain irregular, idiosyncratic, and meaningful in only the most shifting and contextdependent ways, keywords or metaphors are lowest common denominators. At the semantic level-the level of words, images, and metaphors-long-term regularity and patterns emerge in collection, analysis, and taxonomy. This article follows the foregoing course of thought through three stages: first, the manual curation of a high quality database of metaphors; second, the expansion of this database through automated and human-assisted techniques; finally, the description of future experiments and opportunities for the application of machine learning, data mining, and natural language processing techniques to help find patterns and meaning concealed at this important level of granularity. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: Y custom: © 2019 EADH: The European Association for Digital Humanities. item: Literary & Linguistic Computing holder: Oxford University Press / USA dt: @attributes: year: 2008 holdings: @attributes: islocal: N |
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