Novelty Detection in Textual Data using Document Encoders and Self Attention.

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dc.contributor.advisorMunindar Singh, Chair
dc.contributor.advisorPradeep Murukannaiah, External
dc.contributor.advisorChristopher Healey, Member
dc.contributor.advisorCollin Lynch, Member
dc.contributor.advisorRanga Vatsavai, Member
dc.contributor.authorParkhi, Aditya
dc.date.accepted2021-06-07
dc.date.accessioned2021-06-08T12:30:28Z
dc.date.available2021-06-08T12:30:28Z
dc.date.defense2021-04-20
dc.date.issued2021-04-20
dc.date.released2021-06-08
dc.date.reviewed2021-04-30
dc.date.submitted2021-04-27
dc.degree.disciplineComputer Science
dc.degree.levelthesis
dc.degree.nameMaster of Science
dc.descriptionNorth Carolina State University Theses Computer Science.
dc.formatM.S. North Carolina State University, 2021.
dc.identifier.otherdeg25282
dc.identifier.urihttps://www.lib.ncsu.edu/resolver/1840.20/38854
dc.titleNovelty Detection in Textual Data using Document Encoders and Self Attention.
dcterms.extent1 online resource (viii, 68 pages) : illustrations (some color)

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