Annotator based on Spacy NER
Project description
pyannotators_spacyner
Annotator based on Facebook's SpacyNER
Installation
You can simply pip install pyannotators_spacyner
.
Developing
Pre-requesites
You will need to install flit
(for building the package) and tox
(for orchestrating testing and documentation building):
python3 -m pip install flit tox
Clone the repository:
git clone https://github.com/oterrier/pyannotators_spacyner
Running the test suite
You can run the full test suite against all supported versions of Python (3.8) with:
tox
Building the documentation
You can build the HTML documentation with:
tox -e docs
The built documentation is available at `docs/_build/index.html.
Project details
Release history Release notifications | RSS feed
Download files
Download the file for your platform. If you're not sure which to choose, learn more about installing packages.
Source Distribution
Built Distribution
Close
Hashes for pyannotators-spacyner-0.5.32.tar.gz
Algorithm | Hash digest | |
---|---|---|
SHA256 | df0fd66b1c4cd0f00436701e1e94dc0edaf82a0a2e7abde1cfd92e26f0a65031 |
|
MD5 | 443859baface5661ccea2df647a0cf49 |
|
BLAKE2b-256 | f30c7d5c410663e8ee8941dbde4c34d4470132bc12b40f9530bd8799cad7ad69 |
Close
Hashes for pyannotators_spacyner-0.5.32-py3-none-any.whl
Algorithm | Hash digest | |
---|---|---|
SHA256 | ed221b8ae6c959473264de765e94684a13d1a9a82dcc5db2aec94a790d4e7fb3 |
|
MD5 | aa15f7d98487b4b8e7dde60a3e8a691a |
|
BLAKE2b-256 | 3a5833362ce09e9582197fb451b0e252544e68f61e3829688a91dc048f8dfef6 |