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I should not have said that: Measuring contextually inappropriate language in different social settings

dc.contributor.authorSargent, Jackson
dc.contributor.authorAghighi, Athena
dc.contributor.authorGeraci, Michale
dc.contributor.authorJurgens, David
dc.contributor.advisorJurgens, David
dc.date.accessioned2023-05-26T17:55:42Z
dc.date.available2023-05-26T17:55:42Z
dc.date.issued2022
dc.identifier.urihttps://hdl.handle.net/2027.42/176732
dc.description.abstractEveryone has found themselves in a scenario where they think to themselves should I say that? The goal of this project is to investigate how context affects language appropriateness using computational methods. Involved in this is building a dataset of language-relationship-appropriateness sets for use in our work and for further research. We also are interested in what social information our model captures, and how it shows that appropriateness in common language is dependent on social context.
dc.subjectnatural language processing
dc.subjectmachine learning
dc.subjectappropriateness
dc.subjectcontext
dc.subjectcomputational social science
dc.titleI should not have said that: Measuring contextually inappropriate language in different social settings
dc.typeProject
dc.subject.hlbtoplevelEngineering
dc.description.peerreviewedNA
dc.contributor.affiliationumCollege of Engineering
dc.contributor.affiliationumSchool of Information
dc.contributor.affiliationumcampusAnn Arbor
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176732/1/capstone-final-report_-_Jackson_Sargent.pdf
dc.description.bitstreamurlhttp://deepblue.lib.umich.edu/bitstream/2027.42/176732/2/capstone_-_Jackson_Sargent.pptx
dc.identifier.doihttps://dx.doi.org/10.7302/7581
dc.working.doi10.7302/7581en
dc.owningcollnameHonors Program, The College of Engineering


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