gesiscss/sexism_custom_classifier
Custom classifiers to detect sexist language.
This project helps social scientists, researchers, or content moderators automatically identify sexist language in text. You input a collection of text (like social media posts or articles), and it outputs an assessment of whether each piece of text contains sexism. It's designed for anyone needing to analyze large volumes of text for harmful content.
No commits in the last 6 months.
Use this if you need to systematically detect and categorize sexist language in textual data for research, content moderation, or social impact analysis.
Not ideal if you're looking for a simple, out-of-the-box API for general content moderation without needing to understand or customize the underlying models.
Stars
7
Forks
4
Language
Jupyter Notebook
License
MIT
Category
Last pushed
Feb 11, 2021
Commits (30d)
0
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