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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