Analysis of Conceptualization Patterns across Groups of People

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Analysis of Conceptualization Patterns across Groups of People

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dc.contributor.author Glückstad, Fumiko Kano
dc.contributor.author Herlau, Tue
dc.contributor.author Schmidt, Mikkel N.
dc.contributor.author Mørup, Morten
dc.contributor.author Rzepka, Rafal
dc.contributor.author Araki, Kenji
dc.date.accessioned 2014-05-02T08:20:34Z
dc.date.available 2014-05-02T08:20:34Z
dc.date.issued 2014-05-02
dc.identifier.uri http://hdl.handle.net/10398/8918
dc.description.abstract This paper analyzes patterns of conceptualizations possessed by different groups of subjects. The eventual goal of this work is to dynamically learn and structure semantic representations for groups of people sharing domain knowledge. In this paper, we conduct a survey for collecting data representing semantic representations of 34 subjects with different profiles in gender and educational background. The collected data is analyzed by an approach combining two extended versions of the Infinite Relational Model (Kemp et al. 2006) [1]: multiarray Infinite Relational Model (Mørup et al. 2010) [2] and normal Infinite Relational Model (Herlau et al. 2012) [3]. Results indicate that the employed approach not only localizes similar patterns of conceptualization within a group of subjects having a common profile, but also identifies differences in conceptualization across different subject groups. en_US
dc.format.extent 6 en_US
dc.language eng en_US
dc.subject.other Semantic representation en_US
dc.subject.other Collective intelligence en_US
dc.subject.other Bayesian statistics en_US
dc.subject.other Categorization en_US
dc.subject.other Multi-array data analysis en_US
dc.subject.other Psycholinguistics en_US
dc.title Analysis of Conceptualization Patterns across Groups of People en_US
dc.type cp en_US
dc.contributor.corporation Copenhagen Business School. CBS en_US
dc.contributor.corporation Technical University of Denmark, DTU en_US
dc.contributor.corporation Hokkaido University, Japan en_US
dc.contributor.department Department of International Business Communication and Politics en_US
dc.contributor.departmentshort IBC en_US
dc.contributor.departmentuk Department of International Business Communication and Politics en_US
dc.contributor.departmentukshort IBC en_US
dc.description.notes Post print of Technologies and Applications of Artificial Intelligence (TAAI), 2013 Conference on, Page(s): 349-354 en_US
dc.publisher.city Frederiksberg en_US
dc.publisher.year 2013 en_US


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