Text Mining and Qualitative Analysis of an IT History Interview Collection

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.
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Communication dans un congrès
John Impagliazzo; Per Lundin; Benkt Wangler. 3rd History of Nordic Computing (HiNC), Oct 2010, Stockholm, Sweden. Springer, IFIP Advances in Information and Communication Technology, AICT-350, pp.433-443, 2011, History of Nordic Computing 3. 〈10.1007/978-3-642-23315-9_49〉
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Petri Paju, Eric Malmi, Timo Honkela. Text Mining and Qualitative Analysis of an IT History Interview Collection. John Impagliazzo; Per Lundin; Benkt Wangler. 3rd History of Nordic Computing (HiNC), Oct 2010, Stockholm, Sweden. Springer, IFIP Advances in Information and Communication Technology, AICT-350, pp.433-443, 2011, History of Nordic Computing 3. 〈10.1007/978-3-642-23315-9_49〉. 〈hal-01564654〉

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