UCREL/pymusas
Python Multilingual Ucrel Semantic Analysis System
This system helps researchers, linguists, and data analysts understand the meaning and context of text across multiple languages. It takes raw text in languages like English, Spanish, or Mandarin, and outputs that text with semantic tags indicating the meaning of words and phrases. This is useful for anyone analyzing large volumes of multilingual text.
Available on PyPI.
Use this if you need to automatically categorize or analyze the semantic content of text in several different languages, identifying both single words and multi-word expressions.
Not ideal if your primary need is for a simple sentiment analysis or general topic modeling rather than detailed semantic categorization.
Stars
36
Forks
15
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 18, 2026
Commits (30d)
0
Dependencies
5
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/nlp/UCREL/pymusas"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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