Online Spam Review Detection: A Survey of Literature

Abstract The increasingly developed online platform generates a large amount of reviews every moment, e.g., Yelp and Amazon. Consumers gradually develop the habit reading previous before making decision buying or choosing various products. Online play an vital part in determining consumers’ purchase choices e-commerce, yet many are intentionally created to confuse mislead potential consumers. Moreover, driven by product reputations merchants’ profits, more spam were inserted into platform. This kind can be positive, negative neutral, but they had common features: misleading consumers damaging reputations. In past decade, people conducted research on detecting using statistical deep learning method with datasets. view that, this article first introduces task detection makes definition reviews. Then, we comprehensively conclude existing available Third, summarize network-based approaches dealing propose some direction for future research.