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Social-spam profile detection based on content classification and user behavior

Thi Hong Vuong and Van Hien Tran and Minh Duc Nguyen and Thi Cam Van Nguyen and Thanh Huyen Pham and Mai Vu Tran (2016) Social-spam profile detection based on content classification and user behavior. In: Knowledge and Systems Engineering (KSE), 2016.

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Official URL: http://doi.org/10.1109/KSE.2016.7758064

Abstract

Web-based social system enables new community-based opportunities for participants to engage, share and interact. The rapid growth of Facebook has triggered a dramatic increase in spam volume and sophistication. Spammers post their status or comment in Page to send spam content to their friends or other users in the network. In this paper, we consider the problem of detecting spam accounts on Facebook based on comment content and user social behavior. We will propose a hybrid approach using Maximum Entropy (Maxent) model for classifying user comments as either spam or non-spam. We carefully conducted an empirical evaluation for our model on a large collection of comments in Vietnamese Facebook Pages and achieved promising results with an average accuracy of more than 90%.

Item Type:Conference or Workshop Item (Paper)
Subjects:Information Technology (IT)
Divisions:Faculty of Information Technology (FIT)
ID Code:2521
Deposited By: Hong Thi Vuong
Deposited On:16 Jun 2017 03:35
Last Modified:16 Jun 2017 03:35

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