SMS spam filtering: Methods and data

Author:

Delany Sarah Jane,Buckley Mark,Greene Derek

Publisher

Elsevier BV

Subject

Artificial Intelligence,Computer Science Applications,General Engineering

Reference58 articles.

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2. Beaufort, R., Roekhaut, S., Cougnon, L. A., & Fairon, C. (2010). A hybrid rule/model-based finite-state framework for normalizing SMS messages. In Proceedings of the 48th annual meeting of the association for computational linguistics ACL ’10 (pp. 770–779). Stroudsburg, PA, USA: Association for Computational Linguistics.

3. Benevenuto, F., Magno, G., Rodriques, T., & Almeida, V. (2010). Detecting spammers on twitter. In Procs of the 7th annual collaboration electronic messaging, anti-abuse and spam conference.

4. Leveraging social networks to fight spam;Boykin;IEEE Computer,2005

5. Cai, J., Tang, Y., & Hu, R. (2008). Spam filter for short messages using winnow. In Proceedings of the international conference on advanced language processing and web information technology (pp. 454–459). IEEE.

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