Inspiration
Elections Polls are based on sampling a portion of the voting public which is incomplete NaMoStats was inspired to provide a holistic view to the voting public to know the candidates better
What it does
Showcase spatial & temporal trends of twitter activity of candidates, their mentions, people's view
How we built it
We used twitter API to get data. We used open source tools like solr to create and analyse the content Used google maps api and D3 to visualize the analytics. We also created a promptapp command based interface.
Challenges we ran into
Indexing & Enriching our Solr Index was time-consuming despite performing Atomic Updates. We were limited by our AWS nano account
Accomplishments that we're proud of
We were able to visualize temporal & spatial trends in Tweets
What we learned
What's next for NaMoStats-Analyzing 2016 US Presidential Elections
Grab and parse data from Facebook, news sites to enrich our Solr index Run LDA Topic Modeling on URLs being shared by candidates Compute clustering of left wing & right wing followers based on affinity to Candidates
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