This research introduces EthioEmo, a novel framework for detecting multiple emotions and their intensities in Ethiopian language text content.

• First multi-label emotion dataset for Ethiopian languages
• Measures emotion intensity levels, not just presence/absence
• Achieves strong performance across Amharic and other Ethiopian languages
• Enables emotion analysis in previously underrepresented languages

For healthcare applications, this technology enhances mental health monitoring by capturing the nuanced intensity of negative emotions, providing more precise patient sentiment analysis in native languages.

Enhancing Multi-Label Emotion Analysis and Corresponding Intensities for Ethiopian Languages