https://github.com/devgopher/sentimental_w_stemmer

https://github.com/devgopher/sentimental_w_stemmer

Last synced: 23 days ago
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• Host: GitHub
• URL: https://github.com/devgopher/sentimental_w_stemmer
• Owner: devgopher
• Created: 2019-06-25T11:21:44.000Z (over 5 years ago)
• Default Branch: master
• Last Pushed: 2019-06-25T11:30:23.000Z (over 5 years ago)
• Last Synced: 2024-10-31T13:45:22.632Z (2 months ago)
• Language: Python
• Size: 54.7 KB
• Stars: 0
• Watchers: 0
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
Sentimental

Python port of github.com/Wobot/Sentimental (orig: https://github.com/text-machine-lab/sentimental) with some improvements

A simple dictionary-based sentiment analysis system with Russian language support.

Installation

pip3 install -U git+https://github.com/devgopher/sentimental_w_stemmer.git

or

pip3 install -U git+ssh://[email protected]/devgopher/sentimental_w_stemmer.git

Usage

from sentimental import Sentimental

sent = Sentimental()

sentence = 'Today is a good day!'

result = sent.analyze(sentence)

The result is a dictionary with four fields:

{'negative': 0.0, 'positive': 3.0, 'positive_share': 1.0, 'score': 3.0, 'comparative': 0.6}

The filed score reflects the overall sentiment of the input data, and the comparative field is normalized by the length of the input, so it can be used to compare the sentiment of different texts.