HingRoBERTa, fine-tuned on augmented Hinglish cybercrime complaints, reaches 74.41% accuracy and 71.49% F1, outperforming generic BERT/RoBERTa and TF-IDF baselines.
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Automated Classification of Cybercrime Complaints using Transformer-based Language Models for Hinglish Texts
HingRoBERTa, fine-tuned on augmented Hinglish cybercrime complaints, reaches 74.41% accuracy and 71.49% F1, outperforming generic BERT/RoBERTa and TF-IDF baselines.