Sentiment analyzer for tweets

A simple application that gives a sense of various emotions in tweets

Local Development instructions

• Create a virtualenv. virtualenv venv
• Activate venv. source venv/bin/activate
• Install the requirements. pip install -r requirements.txt
• Save Twitter Credentials and declare them in twiter.py where I have labelled "XXXXXXXXXX"

  os.environ['CONSKEY'] = "XXXXXXXXXX"
  
  os.environ['CONSSECRET'] = "XXXXXXXXXX"
  
  os.environ['ACCTOKEN'] = "XXXXXXXXXX"
  
  os.environ['ACCSECRET'] = "XXXXXXXXXX"

• Run the server. python analyzer.py

Some code inspiration was taken from Sirajology (https://www.youtube.com/watch?v=o_OZdbCzHUA) and (https://www.twilio.com/blog/2016/09/fun-with-markov-chains-python-and-twilio-sms.html)