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Enhancing the Rate of Accuracy and Precision in Spam Filtering in Farsi SMS

by Maryam Poorshahsavari, Omid Pourgalehdari
Communications on Applied Electronics
Foundation of Computer Science (FCS), NY, USA
Volume 3 - Number 3
Year of Publication: 2015
Authors: Maryam Poorshahsavari, Omid Pourgalehdari

Maryam Poorshahsavari, Omid Pourgalehdari . Enhancing the Rate of Accuracy and Precision in Spam Filtering in Farsi SMS. Communications on Applied Electronics. 3, 3 ( October 2015), 25-27. DOI=10.5120/cae2015651906

@article{ 10.5120/cae2015651906,
author = { Maryam Poorshahsavari, Omid Pourgalehdari },
title = { Enhancing the Rate of Accuracy and Precision in Spam Filtering in Farsi SMS },
journal = { Communications on Applied Electronics },
issue_date = { October 2015 },
volume = { 3 },
number = { 3 },
month = { October },
year = { 2015 },
issn = { 2394-4714 },
pages = { 25-27 },
numpages = {9},
url = { },
doi = { 10.5120/cae2015651906 },
publisher = {Foundation of Computer Science (FCS), NY, USA},
address = {New York, USA}
%0 Journal Article
%1 2023-09-04T19:43:56.598864+05:30
%A Maryam Poorshahsavari
%A Omid Pourgalehdari
%T Enhancing the Rate of Accuracy and Precision in Spam Filtering in Farsi SMS
%J Communications on Applied Electronics
%@ 2394-4714
%V 3
%N 3
%P 25-27
%D 2015
%I Foundation of Computer Science (FCS), NY, USA

This paper introduces a technique for increasing the rate of accuracy in spam filtering and reducing the false positive (fp) in Farsi SMS. This technique is based on combination of naïve bayes assumption with an introduced formula to increase the filtering accuracy up to 90%. In order to validate introduced formula and to measure the accuracy, the obtained results have been surveyed by precision-Recall techniques.

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Index Terms

Computer Science
Information Sciences


SMS Filtering Naïve bayes Assumption Spam SMS Data Mining False Positive