# Three-class sentiment

HerBERT-based Polish sentiment analysis model capable of classifying Polish texts into positive, neutral, or negative sentiments

This is a model for sentiment classification of Russian text, built on the ruBERT conversational embedder, capable of identifying neutral, positive, and negative sentiments.

This is a sentiment analysis classifier based on SlovakBERT, specifically optimized for Slovak tweets, capable of distinguishing between negative, neutral, and positive sentiment levels.