Authors :
Shaniya Chauhan
Volume/Issue :
Volume 8 - 2023, Issue 6 - June
Google Scholar :
https://bit.ly/3TmGbDi
Scribd :
https://rb.gy/zxaei
DOI :
https://doi.org/10.5281/zenodo.8021622
Abstract :
The purpose of this research paper is to
examine how machine learning techniques are used to
identify whether a SMS is spam or not. The growth of
mobile users has led to a dramatic increase in SMS and
messages. Despite the fact that our idea of information
channels are currently seen as spotless and reliable in
many parts of the world on going data clearly
demonstrates that the amount of cell phones Spam is
dramatically increasing overtime. It is a growing
catastrophe, especially in the middle East and Asia.
Separating SMS spam is a similarly lead task to
solve this problem. It games several concerns and
practical fixes from SMS spam separation in any case, it
brings up it's own unique problems
Keywords :
Machine Learning, Spam Separation.
The purpose of this research paper is to
examine how machine learning techniques are used to
identify whether a SMS is spam or not. The growth of
mobile users has led to a dramatic increase in SMS and
messages. Despite the fact that our idea of information
channels are currently seen as spotless and reliable in
many parts of the world on going data clearly
demonstrates that the amount of cell phones Spam is
dramatically increasing overtime. It is a growing
catastrophe, especially in the middle East and Asia.
Separating SMS spam is a similarly lead task to
solve this problem. It games several concerns and
practical fixes from SMS spam separation in any case, it
brings up it's own unique problems
Keywords :
Machine Learning, Spam Separation.
