Automatic detection of subjective sentences based on chinese subjective patterns

Ziqiong Zhang, Qiang Ye, Chun Hung Roberts Law, Yijun Li

Research output: Chapter in book / Conference proceedingConference article published in proceeding or bookAcademic researchpeer-review

8 Citations (Scopus)


Subjectivity analysis requires lists of subjective terms and corpus resources. Little work to date has attempted to automatically recognize subjective sentences and create corpus resources for Chinese subjectivity analysis. In this paper, we present a bootstrapping process that can use subjective phrases to automatically create training set from unannotated data, which is then fed to a subjective phrases extraction algorithm. The learned phrases are then used to identify more subjective sentences. The bootstrapping process can learn many subjective sentences and phrases. We show that the recall for subjective sentences is increased with slightly drop in reliability.
Original languageEnglish
Title of host publicationCutting-Edge Research Topics on Multiple Criteria Decision Making
Subtitle of host publication20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings
Number of pages8
Publication statusPublished - 14 Aug 2009

Publication series

NameCommunications in Computer and Information Science
ISSN (Print)1865-0929

ASJC Scopus subject areas

  • General Computer Science
  • General Mathematics


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