OPTIMIZING MACHINE LEARNING CLASSIFIERS FOR HIGH-ACCURACY SENTIMENT DETECTION IN THE TURKISH LANGUAGE
This study investigates the optimization of classical machine learning classifiers and ensemble learning strategies for binary Turkish sentiment analysis under a unified experimental framework and demonstrates that optimized classical models remain highly effective in Turkish SA, and their accuracy can be further impro...