SMS Spam Detection using Machine Learning

Author(s)	Mr. ABHISHEK P, Mr. U BHARATH KUMAR REDDY, Ms. T MOUNIKA, Ms. C MYTHILI, Ms. D SHEKSHAVALI
Country	India
Abstract	Past few years have seen increase in the number of social media spam messages. Legal, economic and technical measures can be used to tackle social media spam messages nowadays. A key role is being played by tree filters in stopping this problem. In this project, we analyzed and studied the relative strengths of various machine learning algorithms in order to detect social media spam messages which are sent on mobile devices. We have acquired the data from on open public dataset and prepared two datasets for our testing and validation purposes.Accuracy in detecting social media spam messages was the first priority in ranking these algorithms. Our results clearly demonstrate that different machine learning algorithms under different features tend to perform differently in classifying social media spam messages.
Keywords	SMS Spam Detection, Machine Learning Algorithms, Tree-Based Filters, Spam Message Classification, Mobile Communication Data, Feature- Based Performance Analysis
Field	Engineering
Published In	Volume 17, Issue 2, April-June 2026
Published On	2026-04-03

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International Journal on Science and Technology