Machine learning and sentiment analysis are tools which are available to everyone. We bring them to the masses via a self service application.
What it does
After entering you twitter data you will be able to the sentiment of people in your network. To be open this feture is not fully implement yet but this is the idea.
How I built it
Used python for the twitter mining and a MEAN stack for the web.
Challenges I ran into
This was my first time using a MEAN stack.
Accomplishments that I'm proud of
Learning how express and node work.
What I learned
MEAN stack twitter mining with python.
What's next for Sentisence.co
Finishing the web application and incorporating