eGov-Lens: Code and Dataset
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Zenodo
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| Format: | Recurso digital |
| Sprache: | Bengalisch |
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Zenodo
2026
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| _version_ | 1866901997077135360 |
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| author | Fuad, Md. Muqtadir Mazid, Abdullah Al Adnan, Md. Istiak |
| author_facet | Fuad, Md. Muqtadir Mazid, Abdullah Al Adnan, Md. Istiak |
| contents | 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. |
| format | Recurso digital |
| id | zenodo_https___doi_org_10_5281_zenodo_20090599 |
| institution | Zenodo |
| language | ben |
| publishDate | 2026 |
| publisher | Zenodo |
| record_format | zenodo |
| spellingShingle | eGov-Lens: Code and Dataset Fuad, Md. Muqtadir Mazid, Abdullah Al Adnan, Md. Istiak aspect-based sentiment analysis Bengali NLP Bangla e-government public feedback low-resource NLP text classification BanglaBERT mBERT TOPSIS Bangladesh 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. |
| title | eGov-Lens: Code and Dataset |
| topic | aspect-based sentiment analysis Bengali NLP Bangla e-government public feedback low-resource NLP text classification BanglaBERT mBERT TOPSIS Bangladesh |
| url | https://doi.org/10.5281/zenodo.20090599 |