Skip to content
Descubridor Institucional UMAR
Inicio
Búsqueda avanzada
Explorar
Inicio
Búsqueda avanzada
Explorar
Login
Language
English
Deutsch
Español
Français
Italiano
All Fields
Title
Author
Subject
Call Number
ISBN/ISSN
Tag
Find
Advanced
eGov-Lens: Code and Dataset
eGov-Lens: Code and Dataset
Fuente:
Zenodo
Saved in:
Bibliographic Details
Main Authors:
Fuad, Md. Muqtadir
,
Mazid, Abdullah Al
,
Adnan, Md. Istiak
Format:
Recurso digital
Language:
Bengali
Published:
Zenodo
2026
Subjects:
aspect-based sentiment analysis
Bengali NLP
Bangla
e-government
public feedback
low-resource NLP
text classification
BanglaBERT
mBERT
TOPSIS
Bangladesh
Online Access:
Acceder al recurso
Tags:
Add Tag
No Tags, Be the first to tag this record!
Cite this
Text this
Email this
Print
Export Record
Export to RefWorks
Export to EndNoteWeb
Export to EndNote
Save to List
Permanent link
Holdings
Description
Comments
Similar Items
Staff View
Internet
https://doi.org/10.5281/zenodo.20090599
Similar Items
Mental Health Twitter Dataset for Sentiment Analysis (Jan–May 2025)
by: Mohammad I. Fahmi, et al.
Published: (2025)
Structural Vulnerability of Bangladesh's Bangla-Language News Ecosystem in the 4.5 Years Preceding the July 2024 Information Crisis: A Trust-Geometry Audit Using Configuration-Model Null Inference and Wild Binary Segmentation
by: Khan, Daniel
Published: (2026)
AUTOMATED DETECTION OF SWAHILI SCAM MESSAGES IN TANZANIA USING NATURAL LANGUAGE PROCESSING AND MACHINE LEARNING MODELS
by: Gaudance Stanslaus Tesha
Published: (2026)
Deep Language Detection for Indian Code: A Context-Aware Deep Learning for Multilingual Content Classification
by: Yadav, Shraddha, et al.
Published: (2025)
From Proteomic Big Data to AI Proteomics
by: Guo, Tiannan
Published: (2026)