Metadata-Version: 2.1
Name: twitter-sentiment
Version: 0.0.6.1
Summary: Twitter sentiment is a Python library leveraging NLP and the Twitter API to determine the emotion of a tweet
Home-page: https://github.com/TeddyCr/twitter-sentiment
Author: Teddy Crepineau
Author-email: teddy.crepineau@gmail.com
License: UNKNOWN
Description: Python library to Explore Emotions Behind Tweets
        ================================================
        
        twitter-sentiment is a Python library leveraging NLP algorithm and the Twitter API to classify the sentiment of a tweet.
        
        Installation 
        ------------ 
        Installing twitter-sentiment is simple, you just have to use pip.
        ::
        
            pip install twitter-sentiment
        
        
        Documentation
        -------------  
        Documentation is available at [twitter-sentiment.readthedocs.io](https://twitter-sentiment.readthedocs.io/en/latest/index.html)
        
        twitter-sentiment in a nutshel  
        ------------------------------
        twitter-sentiment let you classify a tweet/list of tweets as positive (1) or negative (0). twitter-sentiment then calculate and returns the ration of positive tweets. To classify a tweet, twitter-sentiment levereage TextBlob Naive Byaise NLP library. More information can be find at [textblob.readthedocs.io](https://textblob.readthedocs.io/en/dev/advanced_usage.html#sentiment-analyzers)
        
        Continuous Integration
        ---------------------
        twitter-sentiment uses circleci as a continuous integration tool. Pushing a new git tag to the remote repositiory will trigger circleci workflow and:
        * validate the test in /test/test_twitterSentiment.py
        * check for a match between the `VERSION` variable in the setup.py file and the git tag version. 
        If all tests pass, the build will be automatically upload to the pypi server
        
Platform: UNKNOWN
Classifier: Programming Language :: Python :: 3.6
Classifier: License :: OSI Approved :: MIT License
Classifier: Operating System :: MacOS
Classifier: Development Status :: 4 - Beta
Classifier: Programming Language :: Python :: 3.6
Classifier: Intended Audience :: Other Audience
Classifier: Topic :: Scientific/Engineering :: Artificial Intelligence
Description-Content-Type: text/markdown
