Distinguishing between authentic and fictitious user-generated hotel reviews

• Main Authors: Banerjee, Snehasish, Chua, Alton Y. K., Jung-Jae Kim
• Other Authors: Wee Kim Wee School of Communication and Information
• Format: Conference or Workshop Item
• Language: English
• Published: 2016
• Subjects: Classification algorithms; Data mining; Machine learning; Text analysis
• Online Access: https://hdl.handle.net/10356/82626; http://hdl.handle.net/10220/40089
• Institution: Nanyang Technological University

The objective of this paper is to distinguish between authentic and fictitious user-generated hotel reviews. To achieve this objective, it adopts a two-step approach. The first seeks to classify authentic and fictitious reviews by leveraging on their possible textual differences. The second step att...