# Short text classification

This is a BERT model based on the Indonesian language, specifically designed for sentiment classification tasks.

A Russian multi-class sentiment classification model fine-tuned based on RuBERT, supporting neutral, positive, and negative sentiment classifications.

A fake news detection model trained on the RoBERTa-base framework to determine news authenticity

Korean sentiment analysis model based on DBERT architecture for text sentiment classification

This is a BERT-base model based on the KLUE benchmark, specifically designed for Korean relation extraction tasks.

A Russian short-text sentiment classification model fine-tuned from rubert-tiny, supporting negative/neutral/positive three-way classification

A compact BERT-based Russian encoder capable of generating high-quality sentence embeddings

This model is used to evaluate Spanish phrase paraphrasing, fine-tuned based on the roberta-base-bne pre-trained model.