Linked entities extraction with Wikipedia normalization
API client to extract entities from natural text, classify them by topic and map them to Wikipedia. Excels at texts in scientific, medical, and professional settings :)
Installation
- pip install --upgrade openmedicalio
- Go to openmedical.io/ner to see demo and docs!
1 maintainer
Metadata
1 maintainer
Release files for openmedicalio 0.0.5
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | Actions |
|---|---|---|---|---|
| openmedicalio-0.0.5.tar.gz | 2.4 kB | Without provenance | Details for openmedicalio-0.0.5.tar.gz |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Actions Reset |
|---|---|---|---|---|
| openmedicalio-0.0.5-py3-none-any.whl | Python 3 | none | any | Details for openmedicalio-0.0.5-py3-none-any.whl |
Total release size: 6.1 kB
Release files / openmedicalio-0.0.5.tar.gz
| Download URL | openmedicalio-0.0.5.tar.gz |
|---|---|
| Size | 2.4 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
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BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
|
Release files / openmedicalio-0.0.5-py3-none-any.whl
| Download URL | openmedicalio-0.0.5-py3-none-any.whl |
|---|---|
| Size | 3.8 kB |
| Tags | Python 3 |
|
SHA-256 checksum How to use checksums |
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|
BLAKE2b-256 checksum How to use checksums |
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|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/2.0.0 pkginfo/1.5.0.1 requests/2.22.0 setuptools/41.4.0 requests-toolbelt/0.9.1 tqdm/4.32.1 CPython/3.7.3
|
Security for openmedicalio 0.0.5
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No provenance found
None of the files in this release were uploaded with provenance metadata.
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