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Sentiment analysis in Turkish
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index.pdf
Date
2009
Author
Eroğul, Umut
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Sentiment analysis is the automatic classification of a text, trying to determine the attitude of the writer with respect to a specific topic. The attitude may be either their judgment or evaluation, their feelings or the intended emotional communication. The recent increase in the use of review sites and blogs, has made a great amount of subjective data available. Nowadays, it is nearly impossible to manually process all the relevant data available, and as a consequence, the importance given to the automatic classification of unformatted data, has increased. Up to date, all of the research carried on sentiment analysis was focused on English language. In this thesis, two Turkish datasets tagged with sentiment information is introduced and existing methods for English are applied on these datasets. This thesis also suggests new methods for Turkish sentiment analysis.
Subject Keywords
Computer enginnering.
,
NLP.
URI
http://etd.lib.metu.edu.tr/upload/12610616/index.pdf
https://hdl.handle.net/11511/18638
Collections
Graduate School of Natural and Applied Sciences, Thesis
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U. Eroğul, “Sentiment analysis in Turkish,” M.S. - Master of Science, Middle East Technical University, 2009.