AMIA Summits on Translational Science Proceedings, 2023

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

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.

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

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}
}