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Metadata-Version: 2.1
Name: PyKomoran
Version: 0.1.5
Summary: PyKomoran is Python wrapper for KOMORAN, KOrean MORphical ANalyzer.
Home-page: https://pydocs.komoran.kr
Author: Junghwan Park, Junsoo Shin, Geunho Lee
Author-email: shineware.contact.form@gmail.com
Maintainer: Junghwan Park, Junsoo Shin, Geunho Lee
Maintainer-email: shineware.contact.form@gmail.com
License: Apache 2.0
Download-URL: https://github.com/shineware/PyKOMORAN/releases/download/0.1.5/PyKomoran-0.1.5.tar.gz
Keywords: KOMORAN,KOrean MORphical ANalyzer,MORphical Analyzer,Text Analyzer,Tokenizer,PoS Tagger,Korean,Linguistic,NLP,Natural Language Processing
Platform: UNKNOWN
Classifier: Development Status :: 4 - Beta
Classifier: Environment :: Console
Classifier: Intended Audience :: Developers
Classifier: Intended Audience :: Education
Classifier: Intended Audience :: Information Technology
Classifier: Intended Audience :: Science/Research
Classifier: License :: OSI Approved :: Apache Software License
Classifier: Natural Language :: Korean
Classifier: Programming Language :: Java
Classifier: Programming Language :: Python :: 3 :: Only
Classifier: Programming Language :: Python :: 3.4
Classifier: Programming Language :: Python :: 3.5
Classifier: Programming Language :: Python :: 3.6
Classifier: Programming Language :: Python :: 3.7
Classifier: Topic :: Scientific/Engineering :: Information Analysis
Classifier: Topic :: Software Development :: Libraries :: Java Libraries
Classifier: Topic :: Text Processing :: Linguistic
Description-Content-Type: text/markdown
Requires-Dist: py4j (==0.10.8.1)
Provides-Extra: test
Requires-Dist: coverage (==4.5.3) ; extra == 'test'
Requires-Dist: nose (==1.3.7) ; extra == 'test'
# PyKOMORAN
[](https://pypi.org/project/PyKomoran)
[](https://pypi.org/project/PyKomoran)
[](https://pypi.org/project/PyKomoran)
[](https://www.apache.org/licenses/LICENSE-2.0)
## Introduction
* PyKOMORAN is Python wrapper project for [KOMORAN, KOrean MORphical ANalyzer](https://github.com/shin285/KOMORAN).
* PyKOMORAN is using [Py4J](https://github.com/bartdag/py4j) for wrapping [KOMORAN Java library](https://github.com/shin285/KOMORAN).
* If you have any issue or question, please leave an issue on [PyKOMORAN Project](https://github.com/shineware/PyKOMORAN/issues).
## Installation
### Requirements
* To use PyKomoran, the following requirements must be installed
* Java 8+ JDK Environment
* Python 3.4+
* We recommend you use Python 3.4 or higher.
* [Py4J](https://www.py4j.org/install.html), 0.10 (or higher)
* This will be installed when installing PyKomoran using `pip`.
### How to install
* You can install PyKomoran using `pip`.
```bash
pip install PyKomoran
```
* Or, just clone this repository and install by yourself.
```sh
git clone https://github.com/shineware/PyKOMORAN
cd PyKOMORAN/python
python setup.py install
```
* Please refer to [installation document](https://pydocs.komoran.kr/firststep/installation.html?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) for detailed installation method.
## Usage
### Quick start
* After import dependencies, create a Komoran instance.
```python
from PyKomoran import *
komoran = Komoran(DEFAULT_MODEL['LIGHT'])
```
* After then, run analyzing method.
```python
komoran.get_plain_text("① 대한민국은 민주공화국이다.")
# # Result
# '①/SW 대한민국/NNP 은/JX 민주/NNP 공화국/NNG 이/VCP 다/EF ./SF'
```
### Usage in detail
* Please refer [KOMORAN Document site](https://pydocs.komoran.kr/firststep/tutorial.html?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) for more information.
## Citation
* Please use BibTeX below.
```tex
@misc{komoran,
author = {Junsoo Shin, Junghwan Park, Geunho Lee},
title = {KOMORAN},
publisher = {GitHub},
journal = {GitHub repository},
howpublished = {\url{https://github.com/shineware/PyKOMORAN}}
}
```
## License
* PyKOMORAN is distributed with the Apache 2.0 license, same as [KOMORAN](https://github.com/shin285/KOMORAN). See `LICENSE` for more information.
## Contributing
* We're always happy to receive any contributions including code, bug reports and documentation fixes.
* Please visit our [Website](https://www.shineware.co.kr/products/komoran/#demo?utm_source=PyPI&utm_medium=Referral&utm_campaign=PyKomoran) and/or [Project Organization at GitHub](https://github.com/komoran) for more information.
* Or, if you have any necessary features or suggestion? Please leave your idea on [Request to add new feature](https://github.com/shineware/PyKOMORAN/issues/new?template=FEATURE_REQUEST.md)