Their Words Gave Them Away :A machine learning approach to automatically profiling chronically ill patients based on their natural language use

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dc.contributor.advisorOtterlo, M. van
dc.contributor.advisorLacroix, J.P.W.
dc.contributor.advisorGerven, M.A.J. van
dc.contributor.authorSloff, L.
dc.date.issued2014-01-13
dc.description.abstractIn this thesis we propose and test a novel approach to automatically assign one of four psychological profiles to chronically ill patients. Using information from a patient's speech and spoken language a machine learning model is built to differentiate between each profile and the other profiles. The predictions of these expert classifiers are gated with a second machine learning model to come to a final decision about the patient's profile. We conclude that for the current problem, a mixture-of-experts consisting of two multi-layered perceptrons and two C4.5 decision trees with a support vector machine as gating mechanism yields the best prediction results. Keywords: machine learning, profiling, speech analysis, language style analysis, computational linguisticsen_US
dc.embargo.lift10000-01-01
dc.identifier.urihttp://theses.ubn.ru.nl/handle/123456789/213
dc.language.isoenen_US
dc.thesis.facultyFaculteit der Sociale Wetenschappenen_US
dc.thesis.specialisationMaster Artificial Intelligenceen_US
dc.thesis.studyprogrammeArtificial Intelligenceen_US
dc.thesis.typeMasteren_US
dc.titleTheir Words Gave Them Away :A machine learning approach to automatically profiling chronically ill patients based on their natural language useen_US
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