rubingshen/AugmentedSocialScientist
A package to easily train Bert-like models for text classification
This tool helps social scientists and researchers quickly categorize large volumes of text data with high accuracy. You provide it with examples of text (like survey responses or social media posts) along with their correct categories, and it learns to automatically classify new, unlabeled texts. This is ideal for anyone needing to analyze qualitative text data at scale, such as sociologists, political scientists, or market researchers.
No commits in the last 6 months. Available on PyPI.
Use this if you need to classify large datasets of text into predefined categories, such as sentiment analysis, topic modeling, or spam detection.
Not ideal if you are working with very small text datasets or if your task requires generating new text rather than categorizing existing text.
Stars
18
Forks
2
Language
Python
License
MIT
Category
Last pushed
May 09, 2025
Commits (30d)
0
Dependencies
7
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