1Department of Information and Computer Science (Aalto University School of Science Department of Information and Computer Science Aalto University School of Science P.O. Box 11000 00076 Aalto FINLAND - Finland)
Abstract : In this paper, we explore the possibility of applying a text mining method on a large qualitative source material concerning the history of information technology in one nation. This data was collected in the Swedish documentation project “From Computing Machines to IT.” We apply text mining on the interview transcripts of this Swedish documentation project. Specifically, we seek to group the interviews according to their central themes and affinities and pinpoint the most relevant interviews for specific research questions. In addition, we search for interpersonal links between the interviews. We apply a method called the “self-organizing map” that can be used to create a similarity diagram of the interviews. We then discuss the results in several contexts including the possible future uses of text mining in researching history.
https://hal.inria.fr/hal-01564654 Contributor : Hal IfipConnect in order to contact the contributor Submitted on : Wednesday, July 19, 2017 - 9:19:17 AM Last modification on : Thursday, October 14, 2021 - 5:08:02 PM
Petri Paju, Eric Malmi, Timo Honkela. Text Mining and Qualitative Analysis of an IT History Interview Collection. 3rd History of Nordic Computing (HiNC), Oct 2010, Stockholm, Sweden. pp.433-443, ⟨10.1007/978-3-642-23315-9_49⟩. ⟨hal-01564654⟩