International Journal For Multidisciplinary Research

E-ISSN: 2582-2160   •   Impact Factor: 9.24

A Widely Indexed Open Access Peer Reviewed Multidisciplinary Bi-monthly Scholarly International Journal

Call for Paper Volume 6 Issue 4 July-August 2024 Submit your research before last 3 days of August to publish your research paper in the issue of July-August.
Submit Research Paper Join as a Reviewer

Plagiarism is checked by the leading plagiarism checker TurnItIn

Call for Paper

Volume 6 Issue 4
July-August 2024

Submit your research paper

Indexing Partners
Academia Advanced Sciences Index Bielefeld Academic Search Engine CiteSeer DRJI Google Scholar Independent Search Engine & Directory Network ISI (International Scientific Indexing) Issuu Mendeley Research Networks
RefSeek ResearcherId - Thomson Reuters ResearchGate Scirus Scribd Semantic Scholar UTeM - Universiti Teknikal Malaysia Melaka Wiki for Call for Papers WorldCat Zenodo

Spam SMS Classifier using Machine Learning Algorithms

Author(s) AARYAN SHARMA, HARSHIT KUMAR SIMBAL, SMRITI KUMARI, GAUTAM KUMAR, HARSHVARDHAN KUMAR
Country India
Abstract Mobile SMS communication is insecure as a result
of a significant problem with spam detection. A technique or
model with high accuracy and precision is required to address
this spam SMS issue. The amount of spam emails has
dramatically increased over the last few years. SMS spam has
major negative impacts since it harms both consumers and
service providers, eroding their mutual trust to a great extent.
Different types of classifier algorithm have been implemented
like Naïve bayes, Random Forest, KNN and Support vector
classifier on a raw dataset collected from UCI repository in this
research. Metrices like Accuracy, Precision and Recall are
takes as performance metrics for calculating the efficiency of
the algorithm. After experimenting, the result of these
algorithms and compared them with another models. We
showed the comparison using Visualization Techniques.
Keywords SMS, Machine learning, KNN, SVM, Naive Bayes, Spam detection, Random forest, messages
Field Computer > Artificial Intelligence / Simulation / Virtual Reality
Published In Volume 6, Issue 2, March-April 2024
Published On 2024-04-30
Cite This Spam SMS Classifier using Machine Learning Algorithms - AARYAN SHARMA, HARSHIT KUMAR SIMBAL, SMRITI KUMARI, GAUTAM KUMAR, HARSHVARDHAN KUMAR - IJFMR Volume 6, Issue 2, March-April 2024. DOI 10.36948/ijfmr.2024.v06i02.19483
DOI https://doi.org/10.36948/ijfmr.2024.v06i02.19483
Short DOI https://doi.org/gts4nz
View / Download PDF File

Share this


E-ISSN 2582-2160
CrossRef

CrossRef DOI is assigned to each research paper published in our journal.

IJFMR DOI prefix is
10.36948/ijfmr

Downloads
Research Paper Format Copyright Permission Form and Undertaking Form Cover Page Vol 6 Isu 4 Cover Page Vol 6 Isu 3 Cover Page Vol 6 Isu 2

All research papers published on this website are licensed under Creative Commons Attribution-ShareAlike 4.0 International License, and all rights belong to their respective authors/researchers.

CC-BY-SA Open Access

About IJFMR
Fees & Payment
Current Issue
Publication Archive 		Submit Research Paper
Track Submission Status
Publication Guidelines
Publication Ethics
Peer Review & Plagiarism 		Join as a Reviewer
Editors & Reviewers
Reviewer Referral Program
Get Reviewer Membership Certi. 		Website/Journal Policies
Usage Policy
Content Policies
Privacy Policy
Contact Us +91-9898-5948-55 editor@ijfmr.com