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SEMCO
2008
IEEE
13 years 10 months ago
A Comparative Study of Feature Extraction Algorithms in Customer Reviews
The paper systematically compares two feature extraction algorithms to mine product features commented on in customer reviews. The first approach [17] identifies candidate featu...
Liliana Ferreira, Niklas Jakob, Iryna Gurevych
LREC
2010
251views Education» more  LREC 2010»
13 years 5 months ago
Extracting Product Features and Sentiments from Chinese Customer Reviews
With the growing interest in opinion mining from web data, more works are focused on mining in English and Chinese reviews. Probing into the problem of product opinion mining, thi...
Shu Zhang, Wen-Jie Jia, Yingju Xia, Yao Meng, Hao ...
WWW
2005
ACM
14 years 5 months ago
Opinion observer: analyzing and comparing opinions on the Web
The Web has become an excellent source for gathering consumer opinions. There are now numerous Web sites containing such opinions, e.g., customer reviews of products, forums, disc...
Bing Liu, Minqing Hu, Junsheng Cheng
ACSC
2003
IEEE
13 years 9 months ago
A Comparative Study for Domain Ontology Guided Feature Extraction
We introduced a novel method employing a hierarchical domain ontology structure to extract features representing documents in our previous publication (Wang 2002). All raw words i...
Bill B. Wang, Robert I. McKay, Hussein A. Abbass, ...
ICPR
2002
IEEE
13 years 9 months ago
Feature Extraction Methods Applied to the Clustering of Electrocardiographic Signals. A Comparative Study
In this paper, a method to automatically extract the main information from a long-term electrocardiographic signal is presented. This method is based on techniques of pattern reco...
David Cuesta-Frau, Juan Carlos Pérez-Cortes...