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

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.