DocumentCode :
3391085
Title :
A query-specific opinion summarization system
Author :
Jin, Feng ; Huang, Minlie ; Zhu, Xiaoyan
Author_Institution :
Dept. Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
fYear :
2009
fDate :
15-17 June 2009
Firstpage :
428
Lastpage :
433
Abstract :
This paper introduces a query-specific opinion summarization system: QOS. When input an opinion question, the system returns a summary with relevance to the opinions and target described by the question. The system has several modules to be able to do this: a question analysis and query reformulation module, a latent semantic indexing based sentence scoring module, a sentence polarity detection module, and a redundancy removal module. When tested on the standard dataset provided by NIST, the results ranked in the median and our system show some competence in this new field.
Keywords :
indexing; query formulation; word processing; latent semantic indexing; opinion summarization system; query reformulation module; question analysis; redundancy removal module; sentence scoring module; Computer science; Data mining; Frequency; Indexing; Information services; Large scale integration; Motion pictures; NIST; System testing; Voting; LSI; Opinion Summarization; Sentiment Polarity Detection;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
Type :
conf
DOI :
10.1109/COGINF.2009.5250700
Filename :
5250700
Link To Document :
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