Traditional and context-specific spam detection in low resource settings

The impact of this imbalance on spam training data sets is investigated and it is shown that simple Bag-of-Words models are best with extreme imbalance, but a neural model that fine-tunes using language models from other domains significantly improves the F1 score, but not to the levels of domain-specific neural models.