Sentiment Analysis of Mobile Health Conversations Using Transformer-Based Language Models

Dr. Olivia hudson

Abstract


This research presents a transformer-based sentiment analysis model for text messages in mHealth conversations. By employing a pre-trained BERT model, the system identifies the emotional tone of conversations between healthcare providers and patients, enabling responsive care based on patient sentiment patterns.

References


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