Automated Sentiment Analysis of Linguistic and Emotional Dimensions in The Book of Dede Korkut and Fuzzy Logic

Abstract

This paper applies fuzzy logic and sentiment analysis to examine the linguistic intricacies and emotional content within The Book of Dede Korkut. By focusing on hedges, epistemic elements, and attitude frequencies, the text’s nuanced nature emerges, encompassing positive, negative, and neutral sentiments that reflect the narrative’s diverse emotional scope. Fuzzy logic captures uncertainties in linguistic variables, highlighting subtle shifts in tone, while sentiment analysis classifies and measures attitudinal intensities throughout the text. Tables and figures illustrate the integration of these approaches, offering visual insights into complex language features and emotional nuances. The findings reveal a complex interplay between language and emotion, with fuzzy logic illuminating subtle language features and sentiment analysis refining the text’s affective insights. Extending these approaches to cross-linguistic comparisons and broader historical contexts will deepen the exploration of classical literature’s emotive resonance and further validate fuzzy logic based literary scholarship for future research.