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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2014-01-13
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en
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Abstract
In 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 linguistics
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Faculteit der Sociale Wetenschappen