垃圾評論的分析與偵測 - 用流出資訊作為標準答案

Abstract

‘Opinion spamming’ usually refers to the illegal marketing practice which involves delivering commercially advantageous opinions as regular users on review websites. In this research, based on a set of internal records of opinion spams leaked from a shady marketing campaign, we are able to explore the characteristics of opinion spams and spammers to obtain some insights, and then make an attempt to devise features that could be potentially helpful in automatic detection. In the final experiments, we find that our detection model can achieve a decent performance with a set of rather basic features.