Comparative opinion sentences identification and elements extraction

Author

Chengxiang Liu ; Ruifeng Xu ; Jie Liu ; Peng Qu ; He Wang ; Chengtian Zou

Author_Institution

Key Lab. of Network Oriented Intell. Comput., Harbin Inst. of Technol., Shenzhen, China

Volume

04

fYear

2013

fDate

14-17 July 2013

Firstpage

1886

Lastpage

1891

Abstract

This paper presents a subsystem for analyzing the comparative opinion sentences. This subsystem consists of three modules. Firstly, rule-based and CSR-based method is developed to identify comparative sentences, respectively. Secondly, in opinion element extraction module, CRFs model is applied to label elements. Finally, in the polarity determination module, some heuristic rules are complied to classify different types of comparative sentences. The evaluations on COAE2012 dataset show that the proposed analysis subsystem achieves a good result.

Keywords

information retrieval; knowledge based systems; pattern classification; COAE2012 dataset; CSR-based method; classical sequential rules; comparative opinion sentences identification; heuristic rules; opinion element extraction module; polarity determination module; rule-based method; Abstracts; Comparative relations extraction; Comparative sentences; Opinion analysis;

fLanguage

English

Publisher

ieee

Conference_Titel

Machine Learning and Cybernetics (ICMLC), 2013 International Conference on

Conference_Location

Tianjin

Type

conf

DOI

10.1109/ICMLC.2013.6890903

Filename

6890903