The paper "Predicting the Semantic Orientation of Adjectives" by Vasileios Hatzivassiloglou and Kathleen R. McKeown presents a method to automatically determine the semantic orientation (positive or negative) of adjectives using a large corpus. The authors validate that conjunctions between adjectives provide indirect constraints on their semantic orientation. They use a log-linear regression model to predict whether conjoined adjectives have the same or different orientations, achieving 82% accuracy. By combining these constraints across many adjectives, a clustering algorithm separates adjectives into groups of different orientations and labels them as positive or negative. Evaluations on real data and simulation experiments show high performance, with classification precision exceeding 90% for adjectives occurring in a modest number of conjunctions. The method is designed to be adaptable to new domains and can be extended to other word classes, ultimately aiming to identify antonyms and distinguish near-synonyms.The paper "Predicting the Semantic Orientation of Adjectives" by Vasileios Hatzivassiloglou and Kathleen R. McKeown presents a method to automatically determine the semantic orientation (positive or negative) of adjectives using a large corpus. The authors validate that conjunctions between adjectives provide indirect constraints on their semantic orientation. They use a log-linear regression model to predict whether conjoined adjectives have the same or different orientations, achieving 82% accuracy. By combining these constraints across many adjectives, a clustering algorithm separates adjectives into groups of different orientations and labels them as positive or negative. Evaluations on real data and simulation experiments show high performance, with classification precision exceeding 90% for adjectives occurring in a modest number of conjunctions. The method is designed to be adaptable to new domains and can be extended to other word classes, ultimately aiming to identify antonyms and distinguish near-synonyms.