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Turkish TV Rating Prediction With Twitter

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dc.contributor.authorAkarsu, Cenk
dc.contributor.authorDiri, Banu
dc.date.accessioned2026-06-27T13:57:50Z
dc.date.issued2016
dc.description.abstractSocial Web Mining is a field that has attracted a lot of attention over the past few years. The dynamic human data, which grows in an incredible speed, has been used to predict a variety of things lie flu trends and political election results. In this project a system has been developed to predict the ratings of Turkish TV programs, using Twitter, a rich source of social data. This system has abilities like gathering and cleaning data, natural language processing, machine learning and prediction.en
dc.identifier.endpage348
dc.identifier.isbn978-1-5090-1679-2
dc.identifier.startpage345
dc.identifier.urihttps://hdl.handle.net/20.500.14981/55976
dc.identifier.wos000391250900064
dc.language.isotur
dc.publisherIEEE
dc.relation.conference24th Signal Processing and Communication Application Conference (SIU)
dc.relation.ispartof2016 24TH SIGNAL PROCESSING AND COMMUNICATION APPLICATION CONFERENCE (SIU)
dc.subjectTwitter
dc.subjectrating prediction
dc.subjectnatural language processing
dc.subjectmachine learning
dc.subjectEngineering
dc.titleTurkish TV Rating Prediction With Twitter
dc.typeProceedings Paper
dspace.entity.typePublication
local.import.sourceWOS

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