A Normalization Method of Distorted Korean SMS Sentences for Spam Message Filtering


KIPS Transactions on Software and Data Engineering, Vol. 3, No. 7, pp. 271-276, Jul. 2014
10.3745/KTSDE.2014.3.7.271,   PDF Download:

Abstract

Short message service(SMS) in a mobile communication environment is a very convenient method. However, it caused a serious side effect of generating spam messages for advertisement. Those who send spam messages distort or deform SMS sentences to avoid the messages being filtered by automatic filtering system. In order to increase the performance of spam filtering system, we need to recover the distorted sentences into normal sentences. This paper proposes a method of normalizing the various types of distorted sentence and extracting keywords through automatic word spacing and compound noun decomposition.


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Cite this article
[IEEE Style]
S. S. Kang, "A Normalization Method of Distorted Korean SMS Sentences for Spam Message Filtering," KIPS Transactions on Software and Data Engineering, vol. 3, no. 7, pp. 271-276, 2014. DOI: 10.3745/KTSDE.2014.3.7.271.

[ACM Style]
Seung Shik Kang. 2014. A Normalization Method of Distorted Korean SMS Sentences for Spam Message Filtering. KIPS Transactions on Software and Data Engineering, 3, 7, (2014), 271-276. DOI: 10.3745/KTSDE.2014.3.7.271.