Automatic Emotion Detection Using Twitter Data

dc.contributor.advisor	Varoğlu, Ekrem
dc.contributor.author	Azarpour, Ali Moayedi
dc.date.accessioned	2021-08-26T10:52:43Z
dc.date.available	2021-08-26T10:52:43Z
dc.date.issued	2019-06
dc.date.submitted	2019
dc.identifier.citation	Azarpour, 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.uri	http://hdl.handle.net/11129/5058
dc.description	Master 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.language.iso	eng	en_US
dc.publisher	Eastern Mediterranean University (EMU) - Doğu Akdeniz Üniversitesi (DAÜ)	en_US
dc.rights	info:eu-repo/semantics/openAccess	en_US
dc.subject	Computer Engineering	en_US
dc.subject	Information storage and retrieval systems	en_US
dc.subject	Data Processing	en_US
dc.subject	Tweet Classification	en_US
dc.subject	Emotions	en_US
dc.subject	Support Vector Machines	en_US
dc.subject	Lexicons	en_US
dc.subject	Feature Selection	en_US
dc.subject	Classifier Selection	en_US
dc.subject	Machine Learning	en_US
dc.subject	Text Mining	en_US
dc.title	Automatic Emotion Detection Using Twitter Data	en_US
dc.type	masterThesis	en_US
dc.contributor.department	Eastern Mediterranean University, Faculty of Engineering, Dept. of Computer Engineering	en_US