Predicting e-commerce company success by mining the text of its publicly-accessible website

Expert Systems with Applications

Volumn 39, Issue 17, 2012, Pages 13026-13034

  Thorleuchter, Dirk ^a   Van Den Poel, Dirk ^b  

^a FRAUNHOFER INT   (Germany)

^b GHENT UNIVERSITY   (Belgium)

Author keywords

Classification; E commerce; LSI; Success factor; Text mining; Website

Indexed keywords

LATENT SEMANTICS; LSI; REGRESSION MODEL; SUCCESS FACTORS; TEXT MINING; TEXTUAL INFORMATION; WEB CONTENT;

CLASSIFICATION (OF INFORMATION); DATA MINING; ELECTRONIC COMMERCE; FACTOR ANALYSIS; REGRESSION ANALYSIS; SEMANTICS; WEBSITES;

INDUSTRY;

EID: 84865034916     PISSN: 09574174     EISSN: None     Source Type: Journal    
DOI: 10.1016/j.eswa.2012.05.096     Document Type: Article

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