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Natural language processing / Histogram / Text Retrieval Conference / Vector space model / Document classification / Latent semantic analysis / Microsoft Word / Search engine indexing / Document retrieval / Information science / Information retrieval / Science


Example Based Text Matching Methodology for Routing Tasks Ari Visa, Jarmo Toivonen, Tomi Vesanen, Jarno M¨akinen Tampere University of Technology P.O. Box 553 FIN[removed]Tampere, Finland
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Document Date: 2003-02-13 12:01:29


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City

Cambridge / Washington DC / Gaithersburg / Leipzig / /

Company

Management Information Systems / Lockwood & Brainard Co. / MIT Press / TEKES / Intel / Reuters / /

Country

Germany / United States / Finland / /

Currency

USD / /

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Facility

University of Helsinki / National Institute of Standards and Technology / Jarno M¨akinen Tampere University of Technology P.O. Box / Tampere University of Technology / University of Maryland / /

IndustryTerm

text mining / /

OperatingSystem

Slackware / Linux / /

Organization

National Institute of Standards and Technology / Department of General Linguistics / Tampere University of Technology / University of Maryland / School of Technology / MIT / Jarno M¨akinen Tampere University / National Technology Agency of Finland / University of Helsinki / Department of Commerce / U.S. Bureau of Education Special Report / /

Person

Tomi Vesanen / D. D. Lewis / Dewey Decimal / /

Position

G.P. / editor / vector space model for automatic indexing / representative / Porter / /

ProgrammingLanguage

XML / R / /

ProvinceOrState

Maryland / Massachusetts / /

PublishedMedium

Journal of Management Information Systems / Machine Learning / Communications of the ACM / /

SportsEvent

formula 1 / /

Technology

XML / Natural Language Processing / Linux / ASCII / Data Mining / Machine Learning / operating system / /

SocialTag