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---
license: apache-2.0
tags:
- generated_from_trainer
model-index:
- name: twitter-health-users
results: []
widget:
- text: >-
We are the #UnitedNations’ health agency - #HealthForAll
- text: >-
Journal of Anesthesiology and Pain Therapy provides insight into original research and highlights the latest advancements in anesthesiology
- text: >-
Human First. EMDR Therapist | Field Instructor | Dog & Plant Mom
- text: >-
Board-certified #Dermatologist from @Harvard
- text: >-
Human. Person. Father. Huge Real Madrid fan
---
Use this model to detect Twitter users' profiles related to healthcare. User profile classification may be useful when searching for health information on Twitter. For a certain health topic, tweets from physicians or organizations (e.g. ```Board-certified dermatologist```) may be more reliable than undefined or vague profiles (e.g. ```Human. Person. Father```).
The model expects the user's ```description``` text field (see [Twitter API](https://developer.twitter.com/en/docs/twitter-api/v1/data-dictionary/object-model/user) docs) as input and returns a label for each profile:
- `not-health-related`
- `health-related`
- `health-related/person`
- `health-related/organization`
- `health-related/publishing`
- `health-related/physician`
- `health-related/news`
- `health-related/academic`
F1 score is 0.9
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