Xiefeng69/stance-detection-for-covid19-related-health-policies
[DASFAA2023] Adversarial Learning-based Stance Classifier for COVID-19-related Health Policies (code&data)
This tool helps public health officials, policy analysts, or researchers understand public opinion on health policies by analyzing social media. It takes raw tweets related to specific COVID-19 health policies (like mask mandates or vaccination) and classifies the sentiment within each tweet as 'favor,' 'against,' or 'neutral.' The output provides a clear breakdown of public stance, allowing users to gauge support or opposition to policies without manually sifting through thousands of posts.
No commits in the last 6 months.
Use this if you need to quickly and accurately assess public sentiment towards specific health policies by automatically categorizing opinions expressed in social media posts.
Not ideal if you need to analyze sentiment on platforms other than Twitter, or if your focus is on identifying subtle nuances in language that go beyond a simple favor/against/neutral classification.
Stars
7
Forks
1
Language
Python
License
—
Category
Last pushed
Jan 24, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/Xiefeng69/stance-detection-for-covid19-related-health-policies"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
davidemiceli/gender-detection
Determine a person's gender based on his/her first name.
bnriiitb/infer-gender
Infer gender from the Indian first name or full name
sumeetkr/AwesomeStanceLearning
The page lists recent research developments in the area of Stance Learning.
phanben110/KAD-FoodHazard
This is the repository of the MyMy team, ranked Top 2 in Subtask 1 and Top 2 in Subtask 2 at the...
RochanaChaturvedi/it-is-all-in-the-name
We predict religion from personal names only.