Title of article :
SMS spam filtering: Methods and data
Author/Authors :
Delany، نويسنده , , Sarah Jane and Buckley، نويسنده , , Mark and Greene، نويسنده , , Derek، نويسنده ,
Issue Information :
روزنامه با شماره پیاپی سال 2012
Pages :
10
From page :
9899
To page :
9908
Abstract :
Mobile or SMS spam is a real and growing problem primarily due to the availability of very cheap bulk pre-pay SMS packages and the fact that SMS engenders higher response rates as it is a trusted and personal service. SMS spam filtering is a relatively new task which inherits many issues and solutions from email spam filtering. However it poses its own specific challenges. This paper motivates work on filtering SMS spam and reviews recent developments in SMS spam filtering. The paper also discusses the issues with data collection and availability for furthering research in this area, analyses a large corpus of SMS spam, and provides some initial benchmark results.
Keywords :
SMS spam filtering , Text classification , SMS spam dataset
Journal title :
Expert Systems with Applications
Serial Year :
2012
Journal title :
Expert Systems with Applications
Record number :
2352305
Link To Document :
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