GU-DataLab/context-spam-detection
Official resource of the paper "Traditional and Context-Specific Spam Detection in Low Resource Settings", Machine Learning Journal 2022
This project helps researchers and data scientists studying spam detection by providing datasets used in a recent academic paper. It offers both traditional and context-specific spam data, allowing for deeper analysis of how spam varies by situation. Researchers focused on natural language processing and machine learning for text classification would find this valuable for experiments.
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Use this if you are an academic researcher or data scientist exploring novel approaches to spam detection, especially in 'low resource' settings where traditional methods might struggle.
Not ideal if you need an out-of-the-box software solution or a library for immediate deployment in a production system.
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GPL-3.0
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Jun 11, 2022
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