Natural Language Processing for Personal Values and Human Activities

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dc.contributor.author Wilson, Steven
dc.date.accessioned 2019-07-08T19:46:42Z
dc.date.available NO_RESTRICTION
dc.date.available 2019-07-08T19:46:42Z
dc.date.issued 2019
dc.date.submitted 2019
dc.identifier.uri http://hdl.handle.net/2027.42/150025
dc.description.abstract Personal values are theorized to influence thought and decision making patterns, which often manifest themselves in the things that people say and do. We explore the degree to which we can employ computational models to infer people's values from the text that they write and the everyday activities that they perform. In addition to investigating how personal values are expressed in language, we use natural language processing methods to automatically discover relationships between a person's values, behaviors, and cultural background. To this end, we show that the automatic analysis of less constrained, open-ended essay questions leads to a model of personal values that is more strongly connected to behaviors than traditional forced-choice value surveys, and that cultural background has a significant influence these connections. To help measure personal values in textual data, we use a novel crowd-powered sorting algorithm to construct a hierarchical lexicon of words and phrases related to human values. Additionally, we develop semantic representations of human activities that capture a variety of useful dimensions such the motivation for which they are typically done. We leverage these representations to build deep neural models that are able to make predictions about a person's activities based on their observed linguistic patterns and inferred values.
dc.language.iso en_US
dc.subject Natural Language Processing
dc.subject Personal Values
dc.subject Computational Social Science
dc.subject Computational Linguistics
dc.title Natural Language Processing for Personal Values and Human Activities
dc.type Thesis
dc.description.thesisdegreename PHD
dc.description.thesisdegreediscipline Computer Science & Engineering
dc.description.thesisdegreegrantor University of Michigan, Horace H. Rackham School of Graduate Studies
dc.contributor.committeemember Mihalcea, Rada
dc.contributor.committeemember Jurgens, David
dc.contributor.committeemember Lasecki, Walter
dc.contributor.committeemember Pennebaker, James
dc.subject.hlbsecondlevel Computer Science
dc.subject.hlbtoplevel Engineering
dc.description.bitstreamurl https://deepblue.lib.umich.edu/bitstream/2027.42/150025/1/steverw_1.pdf
dc.identifier.orcid 0000-0002-2458-0439
dc.identifier.name-orcid Wilson, Steven; 0000-0002-2458-0439 en_US
dc.owningcollname Dissertations and Theses (Ph.D. and Master's)
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