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Who would win the battle for the White House to become the next President of the United States was a topic of hot debate in 2012.
Much of that debate was taking place online, with plenty of people blogging, tweeting or updating social media with their thoughts on Mitt Romney versus Barack Obama.
This provided us with a rich source of information about what people were thinking and feeling about the election race. So today I've decided to cover Techniques of Digital Data Analysis that are used to predict the US election. And perhaps the 2012 election will be remembered as the first election where big data analysis played a crucial role and had a tremendous impact on the outcome of the presidential election.
I am fairly familiar with the above mentioned techniques, because I had an opportunity to meet the CEO of EMC company on January 2013 in Singapore. EMC was one of a selected few companies that Twitter had entrusted to syndicate and provide access to the full Twitter feed for use in internal analytics applications for Obama's campaign in 2012. In my humble opinion that was the reason that in 2015 this company was sold to Dell for $67B in largest deal in Tech history.
The techniques of big data analysis remain the same, so let’s jump to year 2016 and see what social media data is used to predict the US election nowadays.
Read as an article: http://news.cybergates.org/en/articles/can-you-predict-who-will-win-the-us-election