%0 Conference Proceedings
%T Text Mining and Qualitative Analysis of an IT History Interview Collection
%+ Department of Information and Computer Science
%A Paju, Petri
%A Malmi, Eric
%A Honkela, Timo
%Z Part 11: New Historiographical Approaches and Methodological Reflections
%< avec comité de lecture
%( IFIP Advances in Information and Communication Technology
%B 3rd History of Nordic Computing (HiNC)
%C Stockholm, Sweden
%Y John Impagliazzo
%Y Per Lundin
%Y Benkt Wangler
%I Springer
%3 History of Nordic Computing 3
%V AICT-350
%P 433-443
%8 2010-10-18
%D 2010
%R 10.1007/978-3-642-23315-9_49
%K Documentation project
%K IBM
%K IT-history
%K methods development
%K self-organizing map (SOM)
%K Sweden
%K text mining
%Z Computer Science [cs]Conference papers
%X 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.
%G English
%Z TC 9
%Z WG 9.7
%2 https://inria.hal.science/hal-01564654/document
%2 https://inria.hal.science/hal-01564654/file/978-3-642-23315-9_49_Chapter.pdf
%L hal-01564654
%U https://inria.hal.science/hal-01564654
%~ IFIP
%~ IFIP-AICT
%~ IFIP-TC
%~ IFIP-WG
%~ IFIP-TC9
%~ IFIP-WG9-7
%~ IFIP-HINC
%~ IFIP-AICT-350