# Social media text classification

Transformer-based hate speech detection model for Portuguese social media

HATE-ITA is a binary hate speech classification model for Italian social media text, fine-tuned based on the XLM-T model, focusing on identifying insulting, hateful, and offensive language.

A Russian short-text sentiment classification model based on the RuBERT architecture, supporting neutral, positive, and negative sentiment classification

A text sentiment classification model fine-tuned on DeBERTa-v3, performing excellently on the emotion dataset.