SMS Spam Detection Using Machine Learning

Authors

  • Smt. A Sireesha, Sana Bhanu Karthik, K Srena, Surapaneni Nanda Gopal, Sadi Karthik Reddy

Keywords:

SMS Spam, Machine learning, dataset, Random Forest.

Abstract

These days usage of mobiles is increasing rapidly. SMS (Short message service) is available on any type of mobile phone to contact and share information. We are using this SMS for OTPs, conversations, etc…. So, the SMS importance and usage increased rapidly with this Spam messages also increased day by day regarding business, credit cards, loans, lottery tickets, etc… In this paper, we collect the dataset from Kaggle.com and use different types of ML techniques for messages detection. We achieved the highest accuracy with the Random Forest classifier of 97.90% for SMS SPAM Detection.

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Published

2023-04-07

How to Cite

Smt. A Sireesha, Sana Bhanu Karthik, K Srena, Surapaneni Nanda Gopal, Sadi Karthik Reddy. (2023). SMS Spam Detection Using Machine Learning. SJIS-P, 35(1), 749–754. Retrieved from http://sjis.scandinavian-iris.org/index.php/sjis/article/view/395

Issue

Vol. 35 No. 1 (2023)

Section

Articles