Spam Detection on Twitter : A Survey

被引：0
|
作者：
Kaur, Prabhjot [1 ]
Singhal, Anuhha [1 ]
Kaur, Jasleen [1 ]
机构：
[1] Maharaja Surajmal Inst Technol, C-4, New Delhi, India
来源：
PROCEEDINGS OF THE 10TH INDIACOM - 2016 3RD INTERNATIONAL CONFERENCE ON COMPUTING FOR SUSTAINABLE GLOBAL DEVELOPMENT | 2016年
关键词：
Content based; Hybrid; Relation based; Spam; Twitter; User based;
D O I：
暂无
中图分类号：
TP301 [理论、方法];
学科分类号：
081202 ;
摘要：
With the rapid growth of social networking sites for chatting with friends, meeting new people and keeping informed of what's happening in the world, there are those who saturate user's account with messages that are not of his interest, called spam. Spam is used to misled and deceive user by posting harmful links, posting repeatedly to trending topics to grab attention or by posting advertisements. A lot of research has been done to detect spam on twitter. In this paper, we have reviewed research papers published from 2010-2015. Current study provides techniques used, its type, dataset and accuracy.
引用
收藏
页码：2570 / 2573
页数：4
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