AmmarRashed/UnsupervisedStanceDetection
An unsupervised method for target-specific stance detection using embeddings-based clustering and projection techniques. Achieves 90% precision without requiring platform-specific features.
This tool helps researchers and analysts automatically identify different viewpoints or "stances" within large collections of social media posts, like tweets, about specific topics. You provide a file with user IDs and their corresponding posts, and it outputs detected stance groups. It's ideal for social scientists, political analysts, or market researchers studying public opinion and polarization.
No commits in the last 6 months.
Use this if you need to understand divergent opinions on a specific topic from social media data without having to manually label or train a machine learning model.
Not ideal if your data is not text-based or if you require real-time stance detection for streaming data.
Stars
24
Forks
1
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Mar 24, 2025
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/AmmarRashed/UnsupervisedStanceDetection"
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.