2017 IEEE 2nd Advanced Information Technology, Electronic and Automation Control Conference (IAEAC 2017)

187 / 2016-12-20 14:36:24

A Novel Approach To Detect Advertising Spammer In Micro-blog

12179,12178,5250,12177

Recently, with the growth of registered accounts in Micro-blog, the number of abnormal accounts also increased. The emergence of advertising accounts and other unusual account heavily affects the normal order of Micro-blog, therefore, finding out an efficient method to distinguish and classify advertising accounts plays an important role in the Micro-blog ecosystem. Based on the machine learning method, we extract three aspects effective feature sets to design advertising account recognition and classification, and the feature sets contain the following three parts: user profiles, social characteristics and the content of Micro-blog. We crawled 1,000 regular accounts and 1,000 advertising accounts, and handed label them. By using the constructed training set of labeled accounts, the training model of classification model is established. The result demonstrates that the Micro-blog account classification model constructed in this paper can effectively differentiate advertising account and normal account.