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PROOF 16 Transdisciplinarity and Digital Humanities: Lessons Learned from
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Document Date: 2011-12-30 13:25:12


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Company

IBM / MEDLINE / /

Country

United States / United Kingdom / /

Event

Person Communication and Meetings / /

Facility

University of California / /

IndustryTerm

Computer-assisted qualitative data analysis software / printed media / technology studies / text mining / text-mining developers / claim processing / text search / text-mining tools / pre-existing tools / search screen / text-mining computational techniques / mass media / text-mining process / Internet-based survey / healthcare applications / text miners / high-energy physics / data-mining tools / data mining / text-mining tasks / multifaceted mining / natural language processing / mining / grid computing / computing / text miner / Internet users / cloud computing / search facility / computational tools / search engine / text-mining/data-mining turn / Software development / text-mining tool / knowledge mining / customerrelationship-management applications / text-mining ones / text-mining / /

Organization

Social and Intellectual Organization of the Sciences / University of California / Berkeley / UK JISC-funded National Centre for Text Mining / European Union / School of Information / School of Information at University of California / Berkeley / /

Person

M. Hearst / Latour / Schroeder / /

Position

text miner / Professor / human analyst and the text miner / project manager / researcher / representative / single researcher / domain researcher / human analyst / /

ProvinceOrState

California / /

Technology

natural language processing / artificial intelligence / data mining / search engine / machine learning / /

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