Eshort Message Service Spam Detection and Filtering Using Machine Learning Approach

Main Article Content

M. Arulprakash , et. al.

Abstract

A robust and efficient spam filtering and detection system is important in today’s ever changing and growing world. While basic filters and detector are there most of them are not efficient. There is a scope of further development in the systems used. Hence, we are doing our work in way to provide and design a system more efficient and user friendly according to user preferences. Most of the work that has been carried out in this field has been done on data-sets sourced from European countries and mostly on European language. We would be designing a SMS spam filter, which will be universal in nature.As well as our model would be smart enough to distinguish whether a SMS from an operator will be useful to the user or not and rank them accordingly.

Downloads

Download data is not yet available.

Metrics

Metrics Loading ...

Article Details

How to Cite
et. al., M. A. , . (2021). Eshort Message Service Spam Detection and Filtering Using Machine Learning Approach. Turkish Journal of Computer and Mathematics Education (TURCOMAT), 12(9), 721–727. Retrieved from https://turcomat.org/index.php/turkbilmat/article/view/3149
Section
Articles