Sentiment analysis in Turkish at different granularity levels

Warning The system is temporarily closed to updates for reporting purpose.

Dehkharghani, Rahim and Yanıkoğlu, Berrin and Saygın, Yücel and Oflazer, Kemal Sentiment analysis in Turkish at different granularity levels. Natural Language Engineering . ISSN 1351-3249 (Print) 1469-8110 (Online) Published Online First http://dx.doi.org/10.1017/S1351324916000309

[img]PDF - Registered users only - Requires a PDF viewer such as GSview, Xpdf or Adobe Acrobat Reader

Official URL: http://dx.doi.org/10.1017/S1351324916000309


Sentiment analysis has attracted a lot of research interest in recent years, especially in the context of social media. While most of this research has focused on English, there is ample data and interest in the topic for many other languages, as well. In this article, we propose a comprehensive sentiment analysis system for Turkish. We cover different levels of sentiment analysis such as aspect, sentence, and document levels as well as some linguistic issues such as conjunction and intensification in Turkish sentiment analysis. Our system is evaluated on Turkish movie reviews and the obtained accuracies range from sixty per cent to seventy-nine per cent in ternary and binary classification tasks at different levels of analysis.

Item Type:Article
Subjects:Q Science > QA Mathematics > QA075 Electronic computers. Computer science
ID Code:30626
Deposited By:Berrin Yanıkoğlu
Deposited On:12 Nov 2016 16:34
Last Modified:12 Nov 2016 16:34

Repository Staff Only: item control page