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dc.contributor.advisorShing, Man-Tak
dc.contributor.advisorOtani, Thomas
dc.contributor.authorWard, Leslie
dc.dateMar-16
dc.date.accessioned2016-04-29T21:19:08Z
dc.date.available2016-04-29T21:19:08Z
dc.date.issued2016-03
dc.identifier.urihttp://hdl.handle.net/10945/48492
dc.description.abstractThis research explores the use of Twitter to determine if the personality characteristics of well-performing Navy personnel can be identified based on their Twitter use. Well-performing Navy personnel are identified by using the publicly-available Navy promotion lists and then those names were used to query Twitter in order to identify possible accounts belonging to these Sailors. Data from those Twitter accounts that could be positively identified as belonging to Navy personnel were then fed into textual analysis software and each user’s level of the personality traits in the Five Factor Model of personality was calculated based on the results previous research. These results and other data were also stored in a graph database in order to make the data easier to query. Although this research shows that it is possible to successfully calculate a user’s personality based on textual analysis of their Twitter activity, the primary conclusions of this research is that this method is insufficient to identify specific traits that make Navy personnel stand out on Twitter.en_US
dc.description.urihttp://archive.org/details/usingsocialmedia1094548492
dc.publisherMonterey, California: Naval Postgraduate Schoolen_US
dc.rightsThis publication is a work of the U.S. Government as defined in Title 17, United States Code, Section 101. Copyright protection is not available for this work in the United States.en_US
dc.titleUsing social media activity to identify personality characteristics of Navy personnelen_US
dc.typeThesisen_US
dc.contributor.departmentComputer Science
dc.contributor.departmentComputer Scienceen_US
dc.subject.authorTwitteren_US
dc.subject.authorpersonalityen_US
dc.subject.authorFive Factor Modelen_US
dc.subject.authorgraph databaseen_US
dc.subject.authortextual analysisen_US
dc.subject.authorLIWCen_US
dc.description.serviceLieutenant, United States Navyen_US
etd.thesisdegree.nameMaster of Science in Computer Scienceen_US
etd.thesisdegree.levelMastersen_US
etd.thesisdegree.disciplineComputer Scienceen_US
etd.thesisdegree.grantorNaval Postgraduate Schoolen_US
dc.description.distributionstatementApproved for public release; distribution is unlimited.


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