Emotion Analysis on Turkish Texts

Boynukalin, Z.
Karagöz, Pınar
Automatically analyzing the user’s emotion from his/her texts has been gaining interest as a research field. Emotion classification of English texts is studied by several researchers and promising results have been achieved. In this work, an emotion classification study on Turkish texts is presented. To the best of our knowledge, this is the first study conducted on emotion classification for Turkish texts. Due to the nature of Turkish language, several pruning tasks are applied and new features are constructed in order to improve the emotion classification accuracy. We compared the performance of several classification algorithms for emotion analysis and reported the results.


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Automatically analysing the emotion in texts is in increasing interest in today’s research fields. The aim is to develop a machine that can detect type of user’s emotion from his/her text. Emotion classification of English texts is studied by several researchers and promising results are achieved. In this thesis, an emotion classification study on Turkish texts is introduced. To the best of our knowledge, this is the first study on emotion analysis of Turkish texts. In English there exists some well-defined...
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Citation Formats
Z. Boynukalin and P. Karagöz, “Emotion Analysis on Turkish Texts,” 2013, vol. 264, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/43215.