BanglaRhet: Benchmarking Classical and Transformer Models for Rhetorical and Persuasion Detection in Bangla Political Speech

arXiv:2610.09464 · cs.CL · Submitted 2026-10-07 · Read on arXiv

cs.CL

Submitted: 2026-10-07

Updated: 2026-10-07

Comments: 6 pages, 2 figures, 6 tables. Accepted at the 2026 2nd International Conference on Advances in Computing, Communication, Electrical, and Smart Systems (iCACCESS), Dhaka, Bangladesh. Dataset: https://doi.org/10.5281/zenodo.23162113. Code: https://github.com/TSRohit99/banglarhet. Hugging Face: https://huggingface.co/datasets/tsrohit99/banglarhet

Project page: https://www.prothomalo.com

License: http://arxiv.org/licenses/nonexclusive-distrib/1.0/

Terminology

• Benchmarking — 1× in this paper · explained in 4 episodes
• Transformer — 1× in this paper · explained in 2 episodes
• Transformer Models — 1× in this paper · explained in 2 episodes

Sources

• Physics and evolution of the most massive stars in 30 Dor. Mass loss, envelope inflation, and a variable upper stellar mass limit
• Unsupervised Cross-lingual Representation Learning at Scale
• Towards Detecting Persuasion on Social Media: From Model Development to Insights on Persuasion Strategies

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