Logo Lanfrica
  • Home
  • Atlas
  • Insights
  • Docs
  • Sign in

© 2026 Lanfrica. All rights reserved. All copyrights of the resources shown on the Lanfrica website belong to the original copyright holders, unless explicitly stated otherwise.

Fine-Tuned BERT Model for Fraudulent Messages Detection in Algerian Dialect: A Lightweight Approach with Balanced Evaluation Metrics

Record type:

papermodel
Creator:
DhiAbd
Publisher:
IEEE
Host:

Visit

doi.org

Languages

Arabic, Algerian Spoken

Licenses

https://doi.org/10.15223/policy-029https://doi.org/10.15223/policy-037

Similar

BERT SENTIMENT ANALYSIS FOR DETECTING FRAUDULENT MESSAGESDevelopment and Evaluation of a Fine-Tuned EfficientNet-B0 Model for Maize Disease Detectionrdhinaz/BERT-Fine-Tuned-HausaGeneral LLMs Versus Fine-Tuned Models on Algerian Dialect Classification TasksFine-Tuning Transformers and LLMs for Fake News Detection in Algerian Dialectitsabdou/qwen3-8b-fine-tuned-algerian-v2

BERT SENTIMENT ANALYSIS FOR DETECTING FRAUDULENT MESSAGES

With the increasing prevalence of digital communication, fraudulent SMS messages have become a growi

Development and Evaluation of a Fine-Tuned EfficientNet-B0 Model for Maize Disease Detection

Abstract Maize is the staple crop for millions of people in Sub-Saharan Africa, pa

rdhinaz/BERT-Fine-Tuned-Hausa

General LLMs Versus Fine-Tuned Models on Algerian Dialect Classification Tasks

Fine-Tuning Transformers and LLMs for Fake News Detection in Algerian Dialect

itsabdou/qwen3-8b-fine-tuned-algerian-v2