• 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