Analyzing Large Collections of Electronic Text Using OLAP
<|reference_start|>Analyzing Large Collections of Electronic Text Using OLAP: 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.<|reference_end|>
@article{keith2006analyzing,
    title={Analyzing Large Collections of Electronic Text Using OLAP},
    author={Steven Keith, Owen Kaser, Daniel Lemire},
    journal={arXiv preprint arXiv:cs/0605127},
    year={2006},
    number={TR-05-001},
    archivePrefix={arXiv},
    eprint={cs/0605127},
    primaryClass={cs.DB cs.DL}
}