Abstract
Experts teams using large volumes of official documents need to see and understand at a glance how texts regarding a topic are redundant and depend on each other. In line with the strategic line of a consultants company, we present a decision support system for the visual analysis of requirements and regulation texts, based on a new model of semantic social networks analysis. We present our model and a business application. In this work, standard metrics of semantic and linguistic statistics are combined with measures of social networks analysis, in order to display socio-semantic networks of regulation texts supporting experts’ decision.
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Thovex, C., Trichet, F. (2014). Automatic Building of Socio-semantic Networks for Requirements Analysis. In: Buchmann, R., Kifor, C.V., Yu, J. (eds) Knowledge Science, Engineering and Management. KSEM 2014. Lecture Notes in Computer Science(), vol 8793. Springer, Cham. https://doi.org/10.1007/978-3-319-12096-6_4
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DOI: https://doi.org/10.1007/978-3-319-12096-6_4
Publisher Name: Springer, Cham
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