Opinion Mining on the Web by Extracting Subject-Aspect-Evaluation Relations

This paper addresses the task of extracting opinions from a given document collection. Assuming that an opinion can be represented as a tuple hSubject, Aspect, Evaluationi, we propose a computational method to ex-tract such tuples from texts. In this method, the main task is decomposed into (a) the process of extracting Aspect-Evaluation pairs from a given text and (b) the process of judging whether an extracted pair expresses an opinion of the author. We apply machine-learning techniques to both subtasks. We also report on the re-sults of our experiments and discuss future directions