wanted to show how using simple devices you could distill complex data and easily show and interpret

What it does

each light == 1 tweet color == sentiment. Red == Negative; Yellow == Neutral; Green == Positive Buttons on device can select between different twitter search terms

How I built it

just a few hours work on Node-RED, recipe has the details (linked)

Challenges I ran into

Optimizing the embedded code to keep up with the volume of tweets

Accomplishments that I'm proud of

Predicted the 2017 US Election months in advance for $50 :)

What I learned

What's next for Monitoring Twitter sentiment with NodeRED

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