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dc.contributor.authorMurtagh, Fionn
dc.contributor.authorFarid, Mohsen
dc.date.accessioned2016-11-23T14:52:46Z
dc.date.available2016-11-23T14:52:46Z
dc.date.issued2015-04-03
dc.identifier.citationMurtagh, F. and Mohsen, F. (2015) 'The structure of argument: Semantic mapping of US supreme court cases', in Gammerman, A et al. (Eds.) 'Statistical learning and data sciences', Springer: Switzerland, pp. 397-405en
dc.identifier.isbn9783319170909
dc.identifier.doi10.1007/978-3-319-17091-6_34
dc.identifier.urihttp://hdl.handle.net/10545/621043
dc.description.abstractWe semantically map out the flow of the narrative involved in a United States Supreme Court case. Our objective is both the static analysis of semantics but, more so, the trajectory of argument. This includes consideration of those who are involved, the Justices and the Attorneys. We study therefore the flow of argument. Geometrical (metric, latent semantic) and topological (ultrametric, hierarchical) analyses are used in our analytics.
dc.language.isoenen
dc.publisherSpringeren
dc.relation.urlhttp://link.springer.com/chapter/10.1007/978-3-319-17091-6_34en
dc.relation.urlhttp://link.springer.com/book/10.1007/978-3-319-17091-6/en
dc.subjectData analyticsen
dc.subjectMultivariate data analysisen
dc.subjectCorrespondence analysisen
dc.subjectLatent semantic analysisen
dc.subjectHierarchical clusteringen
dc.subjectMetric and ultrametric mappingen
dc.titleThe structure of argument: Semantic mapping of US supreme court casesen
dc.typeMeetings and Proceedingsen
dc.contributor.departmentUniversity of Derbyen
html.description.abstractWe semantically map out the flow of the narrative involved in a United States Supreme Court case. Our objective is both the static analysis of semantics but, more so, the trajectory of argument. This includes consideration of those who are involved, the Justices and the Attorneys. We study therefore the flow of argument. Geometrical (metric, latent semantic) and topological (ultrametric, hierarchical) analyses are used in our analytics.


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