Open AccessElection Prediction Using Big Data Analytics-A Survey
Author(s) -
Abdul Manan Koli,
Muqeem Ahmed
Publication year - 2018
Publication title -
international journal of engineering and technology
Language(s) - English
Resource type - Journals
ISSN - 2227-524X
DOI - 10.14419/ijet.v7i4.5.20108
Subject(s) - voting , social media , big data , data science , raw data , computer science , work (physics) , social media analytics , analytics , data analysis , politics , power (physics) , data mining , political science , world wide web , engineering , mechanical engineering , physics , quantum mechanics , law , programming language
Social media has received much attention due to it's real-time and interactive nature for political discourse, especially around election times. Recently studies have explored the power of social media platforms such as Twitter or Facebook, on recording current social trends and predicting the voting outcomes of an area. These social media generate a large amount of raw data that can be used in decision making for election predictions. This tremendously generated data is referred to as “Big data”. After scrutinized a lot of research work related to election prediction, a survey paper is presented in which every work related to election prediction using social media is incorporated. This paper is an attempt to review various tools, models, and algorithms used for the observation of campaign, discussion, prediction, and analysis of the election, and also suggest further tools and techniques for improvement.