Oct 26, 2016 · The proposed scheme can discover “changed” spam tweets from unlabeled tweets and incorporate them into classifier's training process. A number ...

Abstract—Twitter Spam has become a critical problem nowa- days. Recent works focus on applying machine learning tech- niques for Twitter spam detection, ...

Spammers post tweets containing unrelated tweets, harmful links, repeatedly posts treading topics to try to grab attention of tweeters. The more chance it can ...

Realizing the fact that the statistical properties of spam tweets vary over time, and thus, the performance of existing machine learning-based classifiers ...

A hybrid classification method for Twitter spam detection based on differential evolution and random forest · Computer Science. Concurr. Comput. Pract. Exp.

Abstract : The Twitter Spam has become a critical problem nowadays. Recent works focus on applying machine learning techniques for Twitter spam detection, ...

Abstract: - Twitter Spam has become an essential drawback these days. Recent works specialize in applying machine learning techniques for Twitter spam ...

Spam has become a critical problem in online social networks. This paper focuses on Twitter spam detection. Recent research works focus on applying machine ...

May 30, 2016 · We develop a fuzzy-based information decomposition technique to re-distribute the spam class and generate more spam samples. Moreover, an ...

Most of the described methods focus on detecting spam tweets based on some statistical features. Some studies employ syntax analysis, while a spam dataset  ...