Please use this identifier to cite or link to this item: http://hdl.handle.net/10397/63806
Title: Automatic detection of subjective sentences based on chinese subjective patterns
Authors: Zhang, Z
Ye, Q
Law, R 
Li, Y
Issue Date: 2009
Publisher: Springer
Source: Communications in computer and information science, 2009, v. 35, p. 29-36 How to cite?
Journal: Communications in computer and information science 
Abstract: 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.
Description: Cutting-Edge Research Topics on Multiple Criteria Decision Making
URI: http://hdl.handle.net/10397/63806
ISBN: 978-3-642-02297-5(Print)
978-3-642-02298-2(Online)
ISSN: 1865-0929
DOI: 10.1007/978-3-642-02298-2_5
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