Text Classification Using Mahout

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dc.contributorVirginia Tech. Digital Library Research Laboratoryen
dc.contributorVirginia Tech. Department of Computer Scienceen
dc.contributor.authorAlam, Maksudulen
dc.contributor.authorArifuzzaman, S. M.en
dc.contributor.authorBhuiyan, Md Hasanuzzamanen
dc.contributor.departmentDigital Library Research Laboratoryen
dc.contributor.departmentComputer Scienceen
dc.contributor.editorFox, Edward A.en
dc.contributor.editorChitturi, Kiranen
dc.contributor.editorKanan, Tareken
dc.date.accessioned2015-05-22T14:18:55Zen
dc.date.available2015-05-22T14:18:55Zen
dc.date.issued2012-11-06en
dc.description.abstractThis module focuses on classification of text using Apache Mahout. After successful completion of this module, students will be able to explain and apply methods of classification, correctly classify a set of documents using Apache Mahout, and construct and apply workflows for text classification using Apache Mahout.en
dc.description.notesCS 5604: Information Storage and Retrievalen
dc.format.extent8 pagesen
dc.format.mimetypeapplication/pdfen
dc.identifier.urihttp://hdl.handle.net/10919/52538en
dc.identifier.urlhttp://curric.dlib.vt.edu/modDev/lucidworks_modules/CS5604F2012Module-LucidWorks-text-classification-Mahout.pdfen
dc.language.isoen_USen
dc.relation.ispartofseriesDigital Library Curriculum Projecten
dc.rightsIn Copyrighten
dc.rights.urihttp://rightsstatements.org/vocab/InC/1.0/en
dc.subjectComputer scienceen
dc.subjectDigital librariesen
dc.subjectText classificationen
dc.subjectApache mahouten
dc.subjectNaive bayesen
dc.titleText Classification Using Mahouten
dc.typeLearning objecten
dc.type.dcmitypeTexten

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