Analyzing Large Collections of Electronic Text Using OLAP

Steven Keith; Owen Kaser; Daniel Lemire

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Analyzing Large Collections of Electronic Text Using OLAP

Steven Keith·Owen Kaser·Daniel Lemire

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Abstract

Computer-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.

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BibTeX RIS

Steven Keith, Owen Kaser, Daniel Lemire. 2006-05-27. Analyzing Large Collections of Electronic Text Using OLAP. https://arxiv.org/abs/cs/0605127

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