Automatic Emotion Detection Using Twitter Data

dc.contributor.advisorVaroğlu, Ekrem
dc.contributor.authorAzarpour, Ali Moayedi
dc.date.accessioned2021-08-26T10:52:43Z
dc.date.available2021-08-26T10:52:43Z
dc.date.issued2019-06
dc.date.submitted2019
dc.departmentEastern Mediterranean University, Faculty of Engineering, Dept. of Computer Engineeringen_US
dc.descriptionMaster of Science in Computer Engineering. Thesis (M.S.)--Eastern Mediterranean University, Faculty of Engineering, Dept. of Computer Engineering, 2019. Supervisor: Prof. Dr. Ekrem Varoğlu.en_US
dc.identifier.citationAzarpour, Ali Moayedi. (2019). Automatic Emotion Detection Using Twitter Data. Thesis (M.S.), Eastern Mediterranean University, Institute of Graduate Studies and Research, Dept. of Computer Engineering, Famagusta: North Cyprus.en_US
dc.identifier.urihttps://hdl.handle.net/11129/5058
dc.language.isoen
dc.publisherEastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ)en_US
dc.relation.publicationcategoryTez
dc.rightsinfo:eu-repo/semantics/openAccessen_US
dc.subjectComputer Engineeringen_US
dc.subjectInformation storage and retrieval systemsen_US
dc.subjectData Processingen_US
dc.subjectTweet Classificationen_US
dc.subjectEmotionsen_US
dc.subjectSupport Vector Machinesen_US
dc.subjectLexiconsen_US
dc.subjectFeature Selectionen_US
dc.subjectClassifier Selectionen_US
dc.subjectMachine Learningen_US
dc.subjectText Miningen_US
dc.titleAutomatic Emotion Detection Using Twitter Dataen_US
dc.typeMaster Thesis

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