Sentiment analysis in Turkish at different granularity levels. (21st October 2016)

• Record Type: Journal Article
• Authors: DEHKHARGHANI, RAHIM; YANIKOGLU, BERRIN; SAYGIN, YUCEL; OFLAZER, KEMAL
• Is Part Of: Natural language engineering. Volume 23:Part 4(2017)
• Page Start: 535
• Page End: 559
• Publication Date: 2016-10-21
• Subjects: Natural language processing (Computer science) -- Periodicals; Software engineering -- Periodicals; 006.35
• DOI: 10.1017/S1351324916000309
• Languages: English
• ISSNs: 1351-3249

Abstract

Abstract: 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.