Gf011222-sms-ea.rar -

Compare performance metrics: Accuracy, Precision, Recall, and F1-score.

To develop a system that ensures high-priority emergency alerts are delivered efficiently and accurately categorized. 3. Literature Review

Analysis of Automated SMS Notification Systems for Emergency Alerts and Electronic Response. GF011222-SMS-EA.rar

Justify the use of Deep Learning (CNN/RNN) for better classification accuracy over traditional algorithms. 5. Results & Discussion

Describe the "GF011222-SMS-EA" dataset (size, labels like legitimate , promotional , or emergency ). and removing irrelevant characters.

SMS is a critical communication channel during disasters due to its low bandwidth requirements, but it suffers from congestion and spam.

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 labels like legitimate

Detail steps like standardizing text to lowercase, tokenization, and removing irrelevant characters.