semvec/pypi-packages huggingface dataset:
twitter-sentiment 0.0.6.1
Twitter sentiment is a Python library leveraging NLP and the Twitter API to determine the emotion of a tweet

Python library to Explore Emotions Behind Tweets
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twitter-sentiment is a Python library leveraging NLP algorithm and the Twitter API to classify the sentiment of a tweet.

Installation 
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Installing twitter-sentiment is simple, you just have to use pip.
::

    pip install twitter-sentiment


Documentation
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Documentation is available at [twitter-sentiment.readthedocs.io](https://twitter-sentiment.readthedocs.io/en/latest/index.html)

twitter-sentiment in a nutshel  
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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
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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