Fake review identification and utility evaluation model using machine learning.

Choi, Wonil; Nam, Kyungmin; Park, Minwoo; Yang, Seoyi; Hwang, Sangyoon; Oh, Hayoung

Choi, Wonil; Nam, Kyungmin; Park, Minwoo; Yang, Seoyi; Hwang, Sangyoon; Oh, Hayoung.

Afiliação

Choi W; Department of Business Administration, Sungkyunkwan University, Seoul, South Korea.
Nam K; Department of Business Administration, Sungkyunkwan University, Seoul, South Korea.
Park M; Department of Business Administration, Sungkyunkwan University, Seoul, South Korea.
Yang S; Department of Business Administration, Sungkyunkwan University, Seoul, South Korea.
Hwang S; Department of Business Administration, Sungkyunkwan University, Seoul, South Korea.
Oh H; College of Computing and Informatics, Sungkyunkwan University, Seoul, South Korea.

Front Artif Intell ; 5: 1064371, 2022.

Article em En | MEDLINE | ID: mdl-36744111

Palavras-chave

SVC; e-commerce; fake review; fake review detection technique; logistic regression; machine learning; useful reviews

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article

Texto completo

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PubMed Links

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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Diagnostic_studies / Prognostic_studies Idioma: En Ano de publicação: 2022 Tipo de documento: Article