Metadata-Version: 2.1
Name: wakalinus
Version: 0.1.1
Summary: UNKNOWN
Home-page: https://github.com/AjxLab/wakalinus
Author: Tatsuya Abe
Author-email: abe12@mccc.jp
License: MIT
Keywords: setiment nlp japanese
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
Requires-Dist: janome

wakalinus
=========

[![build](https://github.com/AjxLab/wakalinus/workflows/build/badge.svg)](https://github.com/AjxLab/wakalinus/actions)
[![PyPi](https://badge.fury.io/py/wakalinus.svg)](https://pypi.python.org/pypi/wakalinus/)
[![MIT License](http://img.shields.io/badge/license-MIT-blue.svg?style=flat)](LICENSE)

A simple sentiment analysis utility for Japanese.


## Requirements
* Python 3


## Usage
```python
import wakalinus

analyzer = wakalinus.Analyzer()
analyzer.analyze('天国で待ってる。')
# => [1.0]
analyzer.analyze('遅刻したけど楽しかったし嬉しかった。すごく充実した！')
# => [0.3333333333333333, 1.0]

analyzer.count_polarity('遅刻したけど楽しかったし嬉しかった。すごく充実した！')
# => [{'positive': 2, 'negative': 1}, {'positive': 1, 'negative': 0}])
analyzer.count_polarity('そこにはいつもと変わらない日常があった。')
# => [{'positive': 0, 'negative': 0}]

analyzer.analyze_detail('お金も希望もない！')
# => [{'positive': [], 'negative': ['お金-NEGATION', '希望-NEGATION'], 'score': -1.0}])
analyzer.analyze_detail('お金がないわけではない')
# => [{'positive': ['お金'], 'negative': [], 'score': 1.0}]
```

## Installation
```sh
$ pip install wakalinus
```



