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Data Mining With Criminal Intent

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dc.contributor.author Cohen, Dan
dc.contributor.author Hitchcock, Tim
dc.contributor.author Rockwell, Geoffrey
dc.contributor.author Sander, Jörg
dc.contributor.author Shoemaker, Robert
dc.contributor.author Sinclair, Stéfan
dc.contributor.author Takats, Sean
dc.contributor.author Turkel, William
dc.date.accessioned 2022-10-27T20:05:49Z
dc.date.available 2022-10-27T20:05:49Z
dc.date.issued 2011
dc.identifier.uri http://hdl.handle.net/1920/12991
dc.description The ZIP contains a static version of the website. en_US
dc.description.abstract The Datamining with Criminal Intent project brings together three online resources: the Old Bailey Online, Zotero and TAPoR. It allows users to study the rich Old Bailey resource (127 milllion words of trial accounts), using analytical tools from TAPoR like Voyeur and information management tools like Zotero. Researchers interested in studying the Old Bailey can now work in a distributed research environment where they can query the Old Bailey site through a dedicated API; save result sets and queries to their Zotero account where they can be managed; and then send result sets from Zotero to text analysis tools like the Voyeur tools which have been enhanced to optimise their usefulness with these texts. en_US
dc.description.sponsorship National Endowment for the Humanities, National Science Foundation, Social Science and Humanities Research Council, Joint Information Systems Committee en_US
dc.language.iso en_US en_US
dc.publisher Roy Rosenzweig Center for History and New Media en_US
dc.subject digital history en_US
dc.title Data Mining With Criminal Intent en_US
dc.type Cultural-heritage object en_US
dc.type Project en_US


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