# pcu_nlp
NLP pipeline component (spacy.io) for PCU project
Based on [spacy.io][spacy].
[Check PCU project][pcu].
[spacy]: https://spacy.io [pcu]: https://github.com/zevio/pcu_core
## Installation
To install requirements, go to pcu_nlp/ directory and execute the Makefile with the following command line :
make init
## Usage in another project
If you wish to import this module in another Python project, please install it :
pip install pcu-nlp
Then, add this import line at the beginning of your Python file :
from pcu_nlp import pcu_nlp
You can now use pcu_nlp’s functions, for example :
pcu_nlp.spacyPipeline(text)
## Test
To test your installation, go to pcu_nlp/ directory and execute the Makefile with the following command line :
make test
Metadata
Release files for pcu-nlp 1.2
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | |
|---|---|---|---|
| pcu_nlp-1.2.tar.gz | 3.6 kB | Details |
Built distribution (wheel)
| File | Interpreter | ABI | Platform | Reset |
|---|---|---|---|---|
| pcu_nlp-1.2-py3-none-any.whl | Python 3 | none | any | Details |
Total release size: 21.4 kB
Release files / pcu_nlp-1.2.tar.gz
| Download URL | pcu_nlp-1.2.tar.gz |
|---|---|
| Size | 3.6 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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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.22.0 CPython/3.6.5
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Release files / pcu_nlp-1.2-py3-none-any.whl
| Download URL | pcu_nlp-1.2-py3-none-any.whl |
|---|---|
| Size | 17.9 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 | |
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Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/1.11.0 pkginfo/1.4.2 requests/2.18.4 setuptools/39.0.1 requests-toolbelt/0.8.0 tqdm/4.22.0 CPython/3.6.5
|