指導教授：陳信希臺灣大學：資訊工程學研究所陳譽仁Chen, Yu-RenYu-RenChen2014-11-262018-07-052014-11-262018-07-052014http://ntur.lib.ntu.edu.tw//handle/246246/261463‘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.Abstract 3 Introduction 3 Related Work 4 Dataset 9 Data Exploration 14 Detection 28 Future Work 57 Conclusion 58 Reference 581179751 bytesapplication/pdf論文公開時間：2014/08/21論文使用權限：同意無償授權垃圾評論thesishttp://ntur.lib.ntu.edu.tw/bitstream/246246/261463/1/ntu-103-R01922050-1.pdf