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Machine Learning based Tweet Sentiment Analysis

Search for Tweets and download the data labeled with it's Polarity in CSV format

demo image

Development Guide (Steps)

  1. Go to (https://apps.twitter.com), create development application there for API access
  2. Create a virtual Environment. virtualenv venv
  3. Activate venv. source venv/bin/activate
  4. Install the requirements. pip install -r requirements.txt
  5. Save the ACCESS_TOKEN, ACCESS_TOKEN_SECRET, CONSUMER_KEY, CONSUMER_SECRET as environment variables. You can follow this guide for Heroku (or any other online server you wish to run this upon).
  6. Change twitter username in app.py at line 8 to yours(one that was used to create API access at (https://apps.twitter.com)
  7. Run the server. python app.py

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Twitter Sentiment analysis with polarity and subjectivity using Python

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