In this project we have tried to do multi-label hate-speech classification in Bengali and Hindi language using fill-mask transformer models.
-
Updated
May 28, 2024 - Jupyter Notebook
In this project we have tried to do multi-label hate-speech classification in Bengali and Hindi language using fill-mask transformer models.
BERT and RoBERTa models fine-tuned on the MNLI dataset, optimized for binary entailment/non-entailment classification. Additionally, their performance is explored in handling figurative language.
Code associated with the "Enhanced Cognitive Distortions Detection and Classification through Data Augmentation Techniques" paper
Implementing VADER, RoBERTa and TextCNN on a twitter dataset from Kaggle
Fine-tuning RoBERTa sentiment analysis model on tweets about the Coachella 2015 music festival lineup
Add a description, image, and links to the roberta-fine-tuning topic page so that developers can more easily learn about it.
To associate your repository with the roberta-fine-tuning topic, visit your repo's landing page and select "manage topics."