Emotion analysis on Turkish tweets

Demirci, Sinem
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.


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