Analyzing Large Collections of Electronic Text Using OLAP

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dc.creatorKeith, Steven
dc.creatorKaser, Owen
dc.creatorLemire, Daniel
dc.date2006-05-27
dc.date.accessioned2026-07-07T07:09:35Z
dc.date.available2026-07-07T07:09:35Z
dc.descriptionComputer-assisted reading and analysis of text has various applications in the humanities and social sciences. The increasing size of many electronic text archives has the advantage of a more complete analysis but the disadvantage of taking longer to obtain results. On-Line Analytical Processing is a method used to store and quickly analyze multidimensional data. By storing text analysis information in an OLAP system, a user can obtain solutions to inquiries in a matter of seconds as opposed to minutes, hours, or even days. This analysis is user-driven allowing various users the freedom to pursue their own direction of research.
dc.identifierhttps://arxiv.org/abs/cs/0605127
dc.identifierhttp://arxiv.org/abs/cs/0605127
dc.identifier.urihttp://salesiana.dossiersoluciones.com/handle/123456789/111121
dc.subjectDatabases
dc.subjectDigital Libraries
dc.titleAnalyzing Large Collections of Electronic Text Using OLAP
dc.typetext

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