Sona Simon | Indian Institute of Information Technology, Design and Manufacturing, Kancheepuram (original) (raw)
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ACM Transactions on the Web
Short Message Service (SMS) is one of the widely used mobile applications for global communicatio... more Short Message Service (SMS) is one of the widely used mobile applications for global communication for personal and business purposes. Its widespread use for customer interaction, business updates and reminders has made it a billion dollars industry in ‘Text Marketing’. Along with valid SMS, a tsunami of spam messages also popup which serve various purposes for the sender and a majority of them are fraudulent. Filtering spam SMS in an accurate manner is a crucial and challenging task which will benefit human lives both mentally and economically. Some of the challenges in the filtering of spam SMS include less number of characters, texts in informal languages and lack of public SMS spam corpus, etc. Focusing solely on the textual features of the SMS is a major handicap of the existing methods as it lacks in dynamically adapting to the increasing number of new keywords and jargons. In this paper, we develop an intention-based approach of SMS spam filtering that efficiently handles dyn...
ACM Transactions on the Web
Short Message Service (SMS) is one of the widely used mobile applications for global communicatio... more Short Message Service (SMS) is one of the widely used mobile applications for global communication for personal and business purposes. Its widespread use for customer interaction, business updates and reminders has made it a billion dollars industry in ‘Text Marketing’. Along with valid SMS, a tsunami of spam messages also popup which serve various purposes for the sender and a majority of them are fraudulent. Filtering spam SMS in an accurate manner is a crucial and challenging task which will benefit human lives both mentally and economically. Some of the challenges in the filtering of spam SMS include less number of characters, texts in informal languages and lack of public SMS spam corpus, etc. Focusing solely on the textual features of the SMS is a major handicap of the existing methods as it lacks in dynamically adapting to the increasing number of new keywords and jargons. In this paper, we develop an intention-based approach of SMS spam filtering that efficiently handles dyn...