Combining dependency parsing with shallow semantic analysis for Chinese opinion-element relation identification

@article{Chen2010CombiningDP,
  title={Combining dependency parsing with shallow semantic analysis for Chinese opinion-element relation identification},
  author={Mosha Chen and Tianfang Yao},
  journal={2010 4th International Universal Communication Symposium},
  year={2010},
  pages={299-305}
}
Sentiment analysis is an important subtask for Opinion Mining, among which how to identify the opinion-element relation between a topic and a sentiment modifying it is an essential step. This paper presents a novel method to identify the opinion-element relation based on the dependency parsing analysis as well as shallow semantic analysis, using an ontology dictionary and a collocation database to take full consideration of the semantic behind the topic and sentiment. The experiment result… CONTINUE READING
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References

Publications referenced by this paper.
Showing 1-10 of 17 references

Construction of an Annotated Corpus for Chinese Opinioned-Subljective Texts

  • Y.Hong, J.Liu, T.Yao, Q.Liu, H.Gao
  • JOURNAL OF CHINESE INFORMATION PROCESSING,
  • 2009

Overview of the Chinese Opinion Analysis Evaluation

  • H. Xu, T. Yao, X.Huang, H.Tang, F.Guan, J. ZHang
  • Proceedings of the 2nd Chinese Opinion Analysis…
  • 2009

A Survey of Opinion Mining for Texts

  • T. Yao, X. Cheng, F. Xu, H. Uszkoreit, R. Wang
  • Journal of Chinese Information Processing,
  • 2008

HIT_IR_OMS: A Sentimental Analysis System

  • Y.Zhao, H.Liu, B.Qin, T.Liu
  • Proceedings of the 1st Chinese Opinion Analysis…
  • 2008

Subjective Relation Extraction in Chinese Opinion Mining

  • J.Zhang, Q.Zhang, L.Wu, X.Huang
  • Volume 22,
  • 2008

Automatic Extraction for Chinese Domain Terms by Bootstrapping

  • K.Chen, T.Yao
  • Computer Engineering,
  • 2007

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