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.
|Title of host publication||Cutting-Edge Research Topics on Multiple Criteria Decision Making|
|Subtitle of host publication||20th International Conference, MCDM 2009, Chengdu/Jiuzhaigou, Proceedings|
|Number of pages||8|
|Publication status||Published - 14 Aug 2009|
|Name||Communications in Computer and Information Science|
- Computer Science(all)