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February 23, 2024SoftwareXOpen Access

BioEmoDetector: A flexible platform for detecting emotions from health narratives

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Authors

BABashar AlshouhaJSJesús Serrano-GuerreroFCFrancisco Chiclana

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Overview

Computational platform evaluation demonstrates automated emotion detection from medical narratives, highlighting the utility of language models in healthcare.

Key Points

  • BioEmoDetector enables automated emotion detection from health narratives, capturing dynamic psychological signals related to depression and anxiety.
  • The framework leverages biomedical and clinical pre-trained language models, operating individually or unified within an ensemble model architecture.
  • This open-source tool may enable scalable text classification for clinical interactions, improving the assessment of patient experiences and outcomes.

Cite This Study

Alshouha et al. (2024) studied this question.

synapsesocial.com/papers/68e77df0b6db6435876f1c76https://doi.org/10.1016/j.softx.2024.101670
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