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S. Murugan

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@DravidianLangTech 2026: A Comparative Study of TF-IDF SVM and XLM-RoBERTa for Political Multiclass Text Classification.

The results show that the transformer-based performs well compared to the traditional baseline model with the macro F1 score of 0.3738, highlighting the importance of robust multi-class social media political text classification.

S. Murugan · 0 citations