Inspiration

Tech talks at VolHacks

What it does

Visualization of how people feel about two 2016 presidential candidates through sentiment analysis of tweets (using #trump and #hillary)

How we built it

Used IBM Bluemix to create a Node_RED flow that first extracts tweets with the hashtags #trump and #hillary and then performs sentiment analysis of these tweets. The sentiment score generated was then pipelined into Initial State to visualize how people feel about the candidates in real time.

Challenges we ran into

Transferring data from Bluemix to Initial State

Accomplishments that we're proud of

It works!

What we learned

Big data analysis, networking

What's next for what_a_hack

Add more hashtags/keywords for analysis We can apply our method to other real-time data sets (marketing applications?)

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