Emotion analysis on Turkish tweets

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Tezin Türü: Yüksek Lisans

Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Bilgisayar Mühendisliği Bölümü, Türkiye

Tezin Onay Tarihi: 2014

Öğrenci: SİNEM DEMİRCİ

Eş Danışman: İSMAİL HAKKI TOROSLU, PINAR KARAGÖZ

Özet:

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.