Exploring the Power of social media in Election Predictions
Abdul Manan Koli1, Muqeem Ahmed2
1Abdul Manan Koli, School of Computer Science and Information Technology, MANUU (A central University) Hyderabad, India.
2Muqeem Ahmed School of Computer Science and Information Technology, MANUU (A central University) Hyderabad, India.
Manuscript received on 11 March 2019 | Revised Manuscript received on 17 March 2019 | Manuscript published on 30 July 2019 | PP: 4539-4549 | Volume-8 Issue-2, July 2019 | Retrieval Number: A9192058119/19©BEIESP | DOI: 10.35940/ijrte.A9192.078219
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© The Authors. Blue Eyes Intelligence Engineering and Sciences Publication (BEIESP). This is an open access article under the CC-BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/)
Abstract: The forecasting of election’s outcome remained prevailed in prominence from pre-historic times and is still a delightful topic of the current era. The predictions of election results have been started from traditional methods to economic indicators and now is being swung by social media especially sentimental analysis. The present studies discuss the election forecasting methods carried out in diverse nations by the number of researchers till now. Furthermore, different number of approaches for electoral prediction using social media and economic dimensions has been investigated based on previous literature work. The main focus of this work is to study and examine various techniques, methods and parameters used for election predictions in distinct areas. Finally, we suggest some intelligent techniques which will be based upon some parameters such as the development agenda, party type and religionism etc for further modification in election prediction system, so as to enhance the accuracy of political forecasting globally
Index Terms: Big data, election predictions, data mining, and forecasting.
Scope of the Article: Big data