Ontology Based SMS Controller for Smart Phones

TL;DR

This paper presents an ontology-based system for classifying SMS messages as legitimate or spam, addressing the challenges of short text analysis with promising efficiency and accuracy improvements.

Contribution

It introduces a novel ontology-based approach specifically designed for short SMS message classification, improving detection accuracy and processing speed.

Findings

Effective in classifying SMS messages as spam or legitimate

Demonstrates improved efficiency and time performance

Validated through testing on various scenarios

Abstract

Text analysis includes lexical analysis of the text and has been widely studied and used in diverse applications. In the last decade, researchers have proposed many efficient solutions to analyze / classify large text dataset, however, analysis / classification of short text is still a challenge because 1) the data is very sparse 2) It contains noise words and 3) It is difficult to understand the syntactical structure of the text. Short Messaging Service (SMS) is a text messaging service for mobile/smart phone and this service is frequently used by all mobile users. Because of the popularity of SMS service, marketing companies nowadays are also using this service for direct marketing also known as SMS marketing.In this paper, we have proposed Ontology based SMS Controller which analyze the text message and classify it using ontology aslegitimate or spam. The proposed system has been tested on different scenarios and experimental results shows that the proposed solution is effective both in terms of efficiency and time.