Papers with financial and healthcare sectors

1 papers
Federated Meta-Learning for Emotion and Sentiment Aware Multi-modal Complaint Identification (2023.emnlp-main)

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Challenge: Existing studies on complaint identification are limited to text.
Approach: They propose a meta-learning-based multi-modal multi-task framework for identifying complaints using emotion recognition and sentiment analysis as auxiliary tasks.
Outcome: The proposed framework outperforms baselines and state-of-the-art approaches in centralized and federated meta-learning settings.

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