Opinion Expression Mining by Exploiting Keyphrase Extraction

In this paper, we shall introduce a system for extracting the keyphrases for the reason of authors’ opinion from product reviews. The datasets for two fairly different product review domains related to movies and mobile phones were constructed semiautomatically based on the pros and cons entered by the authors. The system illustrates that the classic supervised keyphrase extraction approach – mostly used for scientific genre previously – could be adapted for opinion-related keyphrases. Besides adapting the original framework to this special task through defining novel, taskspecific features, an efficient way of representing keyphrase candidates will be demonstrated as well. The paper also provides a comparison of the effectiveness of the standard keyphrase extraction features and that of the system designed for the special task of opinion expression mining.