Describe the "GF011222-SMS-EA" dataset (size, labels like legitimate , promotional , or emergency ).
A brief summary (250 words) covering the increasing reliance on SMS for rapid emergency broadcasting, the dataset used (GF011222), the machine learning models applied (e.g., Random Forest or CNN), and the final accuracy results. 2. Introduction GF011222-SMS-EA.rar
Justify the use of Deep Learning (CNN/RNN) for better classification accuracy over traditional algorithms. 5. Results & Discussion Introduction Justify the use of Deep Learning (CNN/RNN)
Compare performance metrics: Accuracy, Precision, Recall, and F1-score. Analysis of Automated SMS Notification Systems for Emergency
Analysis of Automated SMS Notification Systems for Emergency Alerts and Electronic Response.
Discuss existing SMS spam detection using TF-IDF vectorization .
If this file contains a dataset or code for SMS classification, the standard structure for a complete academic paper on this topic would be as follows: 1. Title & Abstract