Automatically analysing the emotion in texts is in increasing interest in today&rsquo / s research fields.
The aim is to develop a machine that can detect type of user&rsquo / 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 datasets for the purpose of emotion classification, but
we could not find datasets in Turkish suitable for this study. Therefore, another important
contribution is the generating a new data set in Turkish for emotion analysis. The dataset is
generated by combining two types of sources. Several classification algorithms are applied
on the dataset and results are compared. Due to the nature of Turkish language, new features
are added to the existing methods to improve the success of the proposed method.
| Identifer | oai:union.ndltd.org:METU/oai:etd.lib.metu.edu.tr:http://etd.lib.metu.edu.tr/upload/12614521/index.pdf |
| Date | 01 July 2012 |
| Creators | Boynukalin, Zeynep |
| Contributors | Senkul, Pinar |
| Publisher | METU |
| Source Sets | Middle East Technical Univ. |
| Language | English |
| Detected Language | English |
| Type | M.S. Thesis |
| Format | text/pdf |
| Rights | To liberate the content for public access |
Page generated in 0.002 seconds