NLPR at Multilingual Opinion Analysis Task in NTCIR7

This paper presents our work in the simplified Chinese opinion analysis task in NTCIR7. For identifying the subjective sentences, the domain adaptation technique was applied in our method, so that the data in NTCIR6 can be used for training subjective classifier. The evaluation results proves that the method proposed in this paper is effective. In extracting the opinion holder, we used the CRF model, which was combined with manual designed heuristics rules. For CRF model we not only extracted part-of-speech features, semantic class features, contextual features, but also some dependency features through parsing analysis. The evaluation results prove that the proposed method is effective for extracting opinion holders.