Fine-grained Opinion Extraction with Mixed Network Model

Abstract

With the development of opinion mining, the relevant areas are being valued more than before. As the foundation of opinion mining, the performance of opinion extraction is significant for the opinion mining results. Among the present methods of opinion extraction, many of them take advantages of the relation features. Unlike other models which use relations in an independent way, in this paper we propose a mixed network model which interactively uses two relations as well as other lexical and syntactic features to solve the extraction problem. A series of experiments show that our model outperforms other baseline models and has a further potential of improvement.