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In this work, we attempt to detect sentencelevel subjectivity by means of two supervised machine learning approaches: a Fuzzy Control System and Adaptive Neuro-Fuzzy Inference System. Even though these methods are popular in pattern recognition, they have not been thoroughly investigated for subjectivity analysis. We present a novel "Pruned ICF Weighting Coefficient," which improves the accuracy for subjectivity detection. Our feature extraction algorithm calculates a feature vector based ondblp:conf/wassa/RustamovMC13 fatcat:k3b6gmjfgjftbhdueeoxuizg5q