Text-based framework for spam detection in Twitter. (c2017)
Due to the inevitable popularity of twitter, as well as its ability to transport messages into sparse communities, spammers tend to take twitter for granted in spreading their commercial messages. Moreover, different spammers behave in various manners. Some of them adopted behavioral approaches; oth...
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| Format: | masterThesis |
| Published: |
2017
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| Online Access: | http://hdl.handle.net/10725/6553 https://doi.org/10.26756/th.2017.21 http://libraries.lau.edu.lb/research/laur/terms-of-use/thesis.php |
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