Beyond Sentiment Classification: A Generative Framework for Emotion Intensity Evaluation in Text

In three linesNovel approach to emotion modeling using fine-tuned generative language models to output continuous intensity scores (0-100) instead of discrete classification. Demonstrates improved generalization and transfer to sentiment and arousal, particularly valuable for finance applications.

Summary generated by Claude — human-verified