Malta Elections 2017 – Big Data Analysis

May 25, 2017 4:10 pm

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With the Malta Elections just around the corner, ICON has teamed up with its partner Minely to do something a bit different. Combining Big Data with social analytics, a social activities scoreboard has been created to measure support for both sides. This scoreboard measures the sentiment each party is receiving from their Facebook posts as well as the distribution of PN and PL sympathy coming from comments on news posted on Facebook.

What Can the Data on the Malta Elections Tell Us?

This is big data analysis at its finest. With a trained machine learning model, extensive data mining and social insights, particular patterns begin to emerge. This gives a great insight into the activity and social engagement on both Simon Busitil’s and Joseph Muscat’s Facebook and Twitter pages. The data also gives great insights into news portal’s Facebook pages and whether their followers are pro-PN or pro-PL. Who knows, you may even be able to use this data to predict the election results! That being said, there’s no real way to predict the results. You’re going to have to wait until election day for that.

Malta Elections 2017

How Can I Use This Type of Data?

Predictive models have always gone part and parcel with forecasting future trends.  Up to this point, it has been somewhat successful but there has always been a shadow of doubt and unpredictability surrounding it. That’s where Big Data comes into play. By utilising Big Data, you’ll be able to make better predictions by analysing the raw data already available to you.  You’ll be able to extract information from this data to form a better understanding of the patterns it holds. Ultimately, you’ll be able to make better, more informed decisions by more accurately predicting future trends. What’s more, you’ll be able to run specific risk assessments and “what if” scenarios so you’re ready for anything.

Where Can I Find the Data on the Malta Elections?

The data will be updated regularly, so make sure you check back often to see how the data has shifted. Moreover, more detailed analysis will be added in the coming days leading up to the election, so stay tuned. Want to view the data for yourself?


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