Text normalization with a slang dictionary improves a Naive Bayes smishing classifier from 88.2% to 96.2% accuracy in the authors' experiments, though the evaluation lacks a reproducible dataset and named baselines.
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Machine Learning Driven Smishing Detection Framework for Mobile Security
Text normalization with a slang dictionary improves a Naive Bayes smishing classifier from 88.2% to 96.2% accuracy in the authors' experiments, though the evaluation lacks a reproducible dataset and named baselines.