Academic
Publications
NLPR at Multilingual Opinion Analysis Task in NTCIR7
NLPR at Multilingual Opinion Analysis Task in NTCIR7   (Citations: 2)
BibTex | RIS | RefWorks Download
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
Published in 2008.
Cumulative Annual
View Publication
The following links allow you to view full publications. These links are maintained by other sources not affiliated with Microsoft Academic Search.
    • ...For feature level, it mostly focuses on the extracting and analyzing the product features, finds the commented features, furthermore to generate opinion summaries [3][4][5][6][7][8]...
    • ...Liu [3] identifies the opinion holder using CRFs model combined with manually designed heuristics rules...
    • ...Our research is closely related with [3][6][8], but it differs form others in that we use chunk features and heuristic information to identify product features for CRFs...

    Bing Xuet al. Product features mining based on Conditional Random Fields model

    • ...The work closest to ours is the one reported in Wan[11], where a unsupervised Multilanguage lexicon based methods was used...

    Rongjun Liet al. Chinese subjectivity analysis using bilingual knowledge and adaptation...

Order by: