SPR2EP: A Semi-Supervised Spam Review Detection Framework

Date

2018-08-31

Author

Yılmaz, Cengiz

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This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.

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Authenticity and reliability of the information spread over the cyberspace is becoming increasingly important. This is especially important in e-commerce since potential customers check reviews and customer feedbacks online before making a purchasing decision. Although this information is easily accessible through related websites, lack of verification of the authenticity of these reviews raises concerns about their reliability. Besides, fraudulent users disseminate misinformation to deceive people into acting against their interest. So, detection of fake and unreliable reviews is a crucial problem that must be addressed by the security researchers.

Subject Keywords

Review spam detection, Feature learning, Document and node embeddings, Web mining

URI

https://hdl.handle.net/11511/54601

Collections

Department of Business Administration, Conference / Seminar

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Citation Formats

C. Yılmaz, “SPR2EP: A Semi-Supervised Spam Review Detection Framework,” 2018, Accessed: 00, 2020. [Online]. Available: https://hdl.handle.net/11511/54601.