Jacobs Journal of Computer Science

Bid Data Analytics and Predicting Election Results

Ajith Singh
Department Of Computer Science, Patna Women’s College, India

Published on: 2019-04-16

Abstract

The best way to predict the future is to study past behavior. This is the underlying idea behind Big Data Analytics. The 2008 Obama election campaign was one of the first to take advantage of data-driven methods in the race to an elected office. The Obama campaign had a data analytics team of 100 people. This shows how deeply data analytics impacts the world. From recommending products to customers on e-commerce websites (i.e. using predictive analytics) to electing the most powerful official of the free world. Big Data Analytics is indeed everywhere. Data analytics has evolved itself to become the brain of every election campaign since the Obama campaign. Data analytics helps the election campaign to understand the voters better and hence adapt to their sentiments. Now let’s find out how data analytics affects the elections and how election campaigns use it.

Keywords

Big data analytics; Election result prediction; Election result prediction model

Introduction

The 2016 race to the White House had data at its center and made itself an unstoppable force. The question here is how it affects the outcome of the election? Positively or Negatively? In other words, does data analytics have the ability to turn election results? Social and polling data can affect the voters. Social websites such as Facebook and Twitter optimize their feeds to the target audience to promote voting. Conversely, you see Hillary Clinton leading by 73% chance to take over the White House in the polls (released by some analytics firm) to Trump. In reality, would you agree that a good number of people would feel that the election result is obvious now?