Predicting International Travel Destinations from Geotagged Flickr Photos

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dc.contributor.advisorYuan, Yihong
dc.contributor.authorUmeokafor, Ugochukwu Francis
dc.contributor.committeeMemberChow, T. Edwin
dc.date.accessioned2018-06-11T17:56:34Z
dc.date.available2018-06-11T17:56:34Z
dc.date.issued2017-12
dc.description.abstractNo abstract prepared.
dc.description.departmentApplied Geography
dc.formatText
dc.format.extent40 pages
dc.format.medium1 file (.pdf)
dc.identifier.citationUmeokafor, U. F. (2017). Predicting international travel destinations from geotagged Flickr photos. Master of Applied Geography Degree, Texas State University, San Marcos, TX.
dc.identifier.urihttps://hdl.handle.net/10877/7279
dc.language.isoen
dc.subjectFlickr
dc.subjectmultinomial naive bayes
dc.subjectgeotagged photos
dc.subjectmachine Learning
dc.subjectprediction
dc.subjectbig data
dc.subjectsocial media studies
dc.subjectApplied Geography
dc.titlePredicting International Travel Destinations from Geotagged Flickr Photos
dc.typeDirected Research Project
thesis.degree.departmentGeography
thesis.degree.grantorTexas State University
thesis.degree.levelMasters
thesis.degree.nameMaster of Applied Geography

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