Title :
A query-specific opinion summarization system
Author :
Jin, Feng ; Huang, Minlie ; Zhu, Xiaoyan
Author_Institution :
Dept. Comput. Sci. & Technol., Tsinghua Univ., Beijing, China
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;
Conference_Titel :
Cognitive Informatics, 2009. ICCI '09. 8th IEEE International Conference on
Conference_Location :
Kowloon, Hong Kong
Print_ISBN :
978-1-4244-4642-1
DOI :
10.1109/COGINF.2009.5250700