Analyzing Large Collections of Electronic Text Using OLAP
数据库
2007-05-23 v1 数字图书馆
摘要
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.
引用
@article{arxiv.cs/0605127,
title = {Analyzing Large Collections of Electronic Text Using OLAP},
author = {Steven Keith and Owen Kaser and Daniel Lemire},
journal= {arXiv preprint arXiv:cs/0605127},
year = {2007}
}