Emotion analysis on Turkish tweets

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2015
Demirci, Sinem
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Automatically detecting emotions in micro-blogs is a new research area which gains importance with the rapid growth of the micro-blogs in the last few years. Mining emotions in micro-blogs has some practical uses which can improve human-computer interaction. As opposed to regular text used in text mining studies, micro-blog entries are short and not well-formed enough to process directly. Also there are some special usages, symbols and conveniences used in micro-blogs which may greatly influence the affect in the text. Therefore, in this thesis, a general framework which considers those deficiencies is suggested and a new data set of Turkish tweets for emotion analysis is constructed.
Emotions., Social media., User-generated content., Online social networks.
http://etd.lib.metu.edu.tr/upload/12618821/index.pdf
https://hdl.handle.net/11511/24702
Graduate School of Natural and Applied Sciences, Thesis

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Citation Formats
S. Demirci, “Emotion analysis on Turkish tweets,” M.S. - Master of Science, Middle East Technical University, 2015.
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