drgriffis/text-essence
Preprocessing and analysis for training SNOMED-CT concept embeddings from CORD-19 corpus
This tool helps researchers and linguists understand how the meaning of medical concepts shifts over time within large collections of text. You input a database containing concept embeddings derived from different time periods or text sources, and it outputs an interactive web interface visualizing these semantic changes. It's designed for someone analyzing linguistic trends or the evolution of scientific terminology.
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Use this if you need to compare how the meaning of specific terms or concepts has evolved across different text corpora or over various time periods.
Not ideal if you are looking for a general-purpose text analysis tool or if your primary interest is in document classification rather than semantic shifts.
Stars
16
Forks
—
Language
Python
License
BSD-3-Clause
Category
Last pushed
Aug 04, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/embeddings/drgriffis/text-essence"
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