dhfbk/variationist
Variationist: Exploring Multifaceted Variation and Bias in Written Language Data (ACL 2024 demo track)
This tool helps researchers like linguists and social scientists understand subtle differences and potential biases in written text. You provide your text data, along with specific categories (like author demographics or publication year), and it produces interactive charts and detailed metrics. It's designed for anyone who needs to analyze how language use varies across different groups or contexts within a dataset.
Available on PyPI.
Use this if you need to analyze how specific words, phrases, or linguistic patterns are associated with different variables or groups within a collection of texts.
Not ideal if you're looking for a simple keyword search tool or a basic sentiment analysis without needing to explore complex linguistic variations or biases across categories.
Stars
10
Forks
—
Language
Python
License
MIT
Category
Last pushed
Jan 31, 2026
Commits (30d)
0
Dependencies
14
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