14 research outputs found

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    Text Mining and Qualitative Analysis of an IT History Interview Collection

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    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

    A Classification of Methods and Contributions in the Historiography of Nordic Computing

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    Part 11: New Historiographical Approaches and Methodological ReflectionsInternational audienceThe relevance and need of proper scientific methods in the research of computer science history was debated in the closing session of HiNC2 (Turku, August 2007). This text extracts a classification of research approaches and methods from HiNC1 and HiNC2 papers and offers a classification of computer science history to help understand the various research contributions in the field. It recognizes two basic divisions and five dominant approaches in the current research on the History of Nordic computing. The need for a clearer definition of the research methods and approaches in the contributions is evident, and there seems to be a need to broaden the conceptual apparatus
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