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Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media

AMIA Summits on Translational Science Proceedings, 2023

🎯Pipeline

image Fig. 1: Framework of proposed generalizable NLP system— Model development and validation on Twitter data followed by additional evaluation on Reddit posts.

🚩Objectives

In this paper, we

  1. Verify that there is substantial migraine-related chatter available on social media (Twitter and Reddit), self-reported by those with migraine;
  2. Develop a platform-independent text classification system for automatically detecting self-reported migraine-related posts, and
  3. Conduct analyses of the self-reported posts to assess the utility of social media for studying this problem.

🏃‍♂️Results

image

Fig. 2: Sentiment distribution statistics for each medication group in Reddit datasets.

📚Citation

Please consider citing 📑 our paper if our repository is helpful to your work.

@article{guo2023generalizable,
  title={Generalizable Natural Language Processing Framework for Migraine Reporting from Social Media},
  author={Guo, Yuting and Rajwal, Swati and Lakamana, Sahithi and Chiang, Chia-Chun and Menell, Paul C and Shahid, Adnan H and Chen, Yi-Chieh and Pharm, D and Chhabra, Nikita and Chao, Wan-Ju and others},
  journal={AMIA Summits on Translational Science Proceedings},
  volume={2023},
  pages={261},
  year={2023},
  publisher={American Medical Informatics Association}
}