In recent years, both metaphor interpretation and opinion mining have drawn much attention in the natural language processing (NLP) field. This paper aims to make a connection between these two fields. In this paper, we propose to extend the glossary orientation annotation to the vehicle (the source concept part of the metaphor) by using an automatic annotation method, and based on the vehicle's orientation corpus, we parse the metaphor's polarity after extracting the metaphor(especially the simile)from the large-scale corpus. Two experiments are conducted to investigate the reliability of our proposal. The result of the first experiment shows the proposed method obtains better results than the system we proposed in 2009 in both precision and recall, while the result of second experiment shows that more than 65% metaphors have a very stable sentiment orientation. Generally, the results demonstrate the effectiveness of our approach and verifying our approach's high reliability.
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