Using a hybrid content-based and behaviour-based featuring approach in a parallel environment to detect fake reviews

Gregorius Satia Budhi, Raymond Chiong, Zuli Wang, Sandeep Dhakal

Abstract: Highlights•We study fake review detection using machine learning.•A hybrid approach combining content and behaviour-based features is used.•Resampling methods are utilised to overcome imbalanced data issues.•Results show that our proposed approach is promising for fake review detection.•A parallel cross validation method is introduced to speed up the validation process.