Farhan Noor Dehan
  • Home
  • Publications
  • Research
  • Experience
  • Projects
  • Experience
  • Research Projects
  • Projects
    • Clinical and Social NLP
    • Cryo-EM Structural Analysis
    • Cryo-ET Filament Segmentation
    • Low-Resource Bangla NLP
  • Publications
    • Beyond Risk Detection: Functional Roles of Substance Use in Suicidal Discourse Among Individuals with Autism Spectrum Disorder and Eating Disorders
    • Eating Disorders Among Individuals with Suicidal Distress: A Cross-Sectional Analysis of Reddit Data on Prevalence, Demographics, and Psychiatric Comorbidity
    • Evaluating Deep Learning Architectures for Actin Filament Segmentation Under Varying Noise Conditions in Simulated Cryo-ET Tomograms
    • SocialDemoExtract: A Tool for Extracting Self-Reported Age and Gender from Social Media Text
    • Evaluating the Few-Shot Performance of Large Language Models for Classifying Clinical Risk Factors in Mental Health Text
    • TinyLLM Efficacy in Low-Resource Language: An Experiment on Bangla Text Classification
    • Investigating the Effectiveness of Graph-Based Algorithms for Bangla Text Classification

Low-Resource Bangla NLP

Dec 1, 2024 · 1 min read

This research compares graph-based models, transformers, and compact language models across Bangla sentiment, emotion, sarcasm, hate-speech, and fake-news classification tasks.

Last updated on Dec 1, 2024
Bangla NLP Graph Neural Networks TinyLLMs
ফারহান নূর দিহান
Authors
ফারহান নূর দিহান
Graduate Research Assistant & M.S. Student in Computer Science

← Cryo-ET Filament Segmentation Dec 15, 2025

© 2026 Farhan Noor Dehan

Published with Hugo Blox Builder — the free, open source website builder that empowers creators.