Analyzing Large Collections of Electronic Text Using OLAP

Computer-assisted reading and analysis of text has applications in the humanities and social sciences. Ever-larger electronic text archives have the advantage of allowing a more complete analysis but the disadvantage of forcing longer waits for results. On-Line Analytical Processing (OLAP) allows quick analysis of multidimensional data. By storing text-analysis information in an OLAP system, queries may be solved in seconds instead of minutes or hours. This analysis is user-driven, allowing users the freedom to pursue their own directions of research.

• Type: Journal
• Year: 2006
• Where: CORR
• Authors: Steven Keith, Owen Kaser, Daniel Lemire
• Keywords: Analysis, CORR 2006, Education, Electronic Text Archives, On-Line Analytical Processing