Publications

Using interval type-2 fuzzy logic to analyze Turkish emotion words

Abstract

This paper describes a methodology that shows the feasibility of a fuzzy logic (FL) representation of Turkish emotion-related words. We analyzed 197 Turkish emotion words set through a Web-based surveys that prompted users with emotional words and asked them to enter an interval valence, activation, and dominance emotion attributes using a double slider. Our previous experimental results indicated that there was a strong correlation between the emotions attributed to Turkish word roots and the Turkish sentences. In this paper, we extend our previous work and analyze Turkish emotion words by using an interval type-2 fuzzy logic.

Date
2012
Authors
Ozan Cakmak, Abe Kazemzadeh, Serdar Yildirim, Shri Narayanan
Conference
Proceedings of the 2012 Asia pacific signal and information processing association annual summit and conference
Pages
1-4
Publisher
IEEE