# German Sentiment Analysis

A German emotion classification model fine-tuned based on RoBERTa, capable of classifying text into six emotion categories: anger, fear, disgust, sadness, happiness, and none of the above.

XLM-RoBERTa-based German emotion classification model capable of recognizing 28 emotions

A multilingual sentiment analysis model based on the XLM-RoBERTa architecture, specifically optimized for German, achieving an 87% F1 score in German sentiment analysis tasks.

A BERT model specifically trained for German text sentiment classification, supporting positive/negative/neutral three-class classification