Spam SMS Detection for Turkish Language with Deep Text Analysis and Deep Learning Methods

Author:

Karasoy OnurORCID,Ballı SerkanORCID

Publisher

Springer Science and Business Media LLC

Subject

Multidisciplinary

Reference52 articles.

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2. Karasoy, O.; Ballı, S.: Developing mobile application for content base spam SMS filtering and comparison of classification algorithms. In: International Artificial Intelligence and Data Processing Symposium (IDAP'16), 13–18 September 2016 pp. 47–53 (2016)

3. Healy, M.; Delany, S.; Zamolotskikh, A.: An assessment of case-based reasoning for short text message classification. In: Proceedings of the 15th. Irish Conference on Artificial Intelligence and Cognitive Sciences (AICS'04), Castlebar, pp. 257–266 (2004)

4. Deng, W.-W.; Peng, H.: Research on a Naive Bayesian based short message filtering system. In: International conference on machine learning and cybernetics,13–16 August 2006, Dalian, China, pp. 1233–1237 (2006)

5. Cormack, G. V.; Hidalgo, J. M. G.; Sánz, E. P. Spam filtering for short messages. In:16th ACM Conference on Information and Knowledge Management (CIKM’07), 6–10 November 2007, Lisbon, Portugal, pp. 313–320 (2007)

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