fnielsen/wembedder
Wikidata embedding
This tool generates numerical representations (embeddings) for Wikidata entities, which are unique identifiers for real-world concepts like people, places, or events. It takes a Wikidata entity as input and provides a numerical vector that captures its meaning and relationships. This is useful for researchers and data scientists working with knowledge graphs and semantic data.
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Use this if you need to transform Wikidata entities into machine-readable numerical vectors for tasks like similarity analysis or classification.
Not ideal if you are looking for a general-purpose natural language processing tool for text, as it specifically focuses on Wikidata entities.
Stars
51
Forks
11
Language
Python
License
—
Category
Last pushed
Nov 05, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/fnielsen/wembedder"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
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