Paper: Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining

ACL ID D07-1114
Title Extracting Aspect-Evaluation and Aspect-Of Relations in Opinion Mining
Venue Conference on Empirical Methods in Natural Language Processing
Session Main Conference
Year 2007
Authors

The technology of opinion extraction allows users to retrieve and analyze people’s opin- ions scattered over Web documents. We de- fine an opinion unit as a quadruple consist- ing of the opinion holder, the subject being evaluated, the part or the attribute in which the subject is evaluated, and the value of the evaluation that expresses a positive or neg- ative assessment. We use this definition as the basis for our opinion extraction task. We focus on two important subtasks of opinion extraction: (a) extracting aspect-evaluation relations, and (b) extracting aspect-of re- lations, and we approach each task using methods which combine contextual and sta- tistical clues. Our experiments on Japanese weblog posts show that the use of contex- tual clues improve the performance for both task...