Sentiment analysis in Turkish at different granularity levels

RAHIM DEHKHARGHANI, BERRIN YANIKOGLU, YUCEL SAYGIN, KEMAL OFLAZER

Research output: Contribution to journalArticle

4 Citations (Scopus)

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.

Original languageEnglish
Pages (from-to)1-25
Number of pages25
JournalNatural Language Engineering
DOIs
Publication statusAccepted/In press - 21 Oct 2016
Externally publishedYes

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ASJC Scopus subject areas

  • Software
  • Language and Linguistics
  • Linguistics and Language
  • Artificial Intelligence

Cite this

DEHKHARGHANI, RAHIM., YANIKOGLU, BERRIN., SAYGIN, YUCEL., & OFLAZER, KEMAL. (Accepted/In press). Sentiment analysis in Turkish at different granularity levels. Natural Language Engineering, 1-25. https://doi.org/10.1017/S1351324916000309