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Discuss existing SMS spam detection using TF-IDF vectorization .
Discuss the impact of synthetic data generation if the dataset was imbalanced. 6. Conclusion GF011222-SMS-EA.rar
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 Conclusion If this file contains a dataset or
Summary of findings and potential for real-world deployment in emergency response networks. the dataset used (GF011222)
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
To develop a system that ensures high-priority emergency alerts are delivered efficiently and accurately categorized. 3. Literature Review
Justify the use of Deep Learning (CNN/RNN) for better classification accuracy over traditional algorithms. 5. Results & Discussion