Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis

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dc.contributor.author Pääkkönen, Juho
dc.contributor.editor Licastro, Amanda
dc.contributor.editor Miller, Benjamin
dc.date.accessioned 2021-11-19T08:19:01Z
dc.date.available 2021-11-19T08:19:01Z
dc.date.issued 2021-11-02
dc.identifier.citation Pääkkönen , J 2021 , Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis . in A Licastro & B Miller (eds) , Composition and Big Data . Pittsburgh Series in Composition, Literacy, and Culture , University of Pittsburgh press .
dc.identifier.other PURE: 161067282
dc.identifier.other PURE UUID: 8005ba3c-6b71-480a-a9dc-f2f5e70e0264
dc.identifier.other ORCID: /0000-0002-0378-845X/work/103594772
dc.identifier.uri http://hdl.handle.net/10138/336532
dc.language.iso eng
dc.publisher University of Pittsburgh press
dc.relation.ispartof Composition and Big Data
dc.relation.ispartofseries Pittsburgh Series in Composition, Literacy, and Culture
dc.relation.isversionof 9780822946748
dc.rights cc_by_nc_nd
dc.rights.uri info:eu-repo/semantics/openAccess
dc.subject 5141 Sociology
dc.subject 113 Computer and information sciences
dc.title Data Do Not Speak for Themselves : Interpretation and Model Selection in Unsupervised Automated Content Analysis en
dc.type Chapter
dc.contributor.organization Academic Disciplines of the Faculty of Social Sciences
dc.description.reviewstatus Peer reviewed
dc.rights.accesslevel openAccess
dc.type.version acceptedVersion
dc.identifier.url https://upittpress.org/books/9780822946748/

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