Few are as Good as Many: An Ontology-Based Tweet Spam Detection Approach
Due to the high popularity of Twitter, spammers tend to favor its use in spreading their commercial messages. In the context of detecting twitter spams, different statistical and behavioral analysis approaches were proposed. However, these techniques suffer from many limitations due to: 1) ongoing c...
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| Other Authors: | , , |
| Format: | article |
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2018
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| Online Access: | http://hdl.handle.net/10725/12699 https://doi.org/10.1109/ACCESS.2018.2877685 http://libraries.lau.edu.lb/research/laur/terms-of-use/articles.php https://ieeexplore.ieee.org/abstract/document/8502923 |
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