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Autors principals:	Fuad, Md. Muqtadir, Mazid, Abdullah Al, Adnan, Md. Istiak
Format:	Recurso digital
Idioma:	bengalí
Publicat:	Zenodo 2026
Matèries:	aspect-based sentiment analysis Bengali NLP Bangla e-government public feedback low-resource NLP text classification BanglaBERT mBERT TOPSIS Bangladesh
Accés en línia:	https://doi.org/10.5281/zenodo.20090599
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Code and dataset for eGov-Lens: A Multi-Dimensional Machine Learning Approach to Aspect-Based Public Feedback Analysis on Bengali e-Government Platforms. This repository includes Bengali public feedback datasets, classical machine learning experiments, transformer-based feature experiments, final results, and entropy-weighted TOPSIS ranking files.