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
Description: 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
        ```
        
        
Keywords: setiment nlp japanese
Platform: UNKNOWN
Classifier: License :: OSI Approved :: MIT License
Classifier: Programming Language :: Python :: 3.7
Description-Content-Type: text/markdown
