Abstract
Electing a Prime Minister (PM) is a process that occurs every 5 years in India, through conducting an election. Who will win the election is one of the most asked questions on everyone’s tongue, as the election is just few months away. The objective of this research is to predict the likelihood of PM Narendra Modi’s chances to continue as the Prime Minister of India using Bayesian network approach. The aim of this research is not to develop a new predictive algorithm, but to use the existing approach for making predictions on a real-life scenario. Our Bayesian modeling is based on public responses available on social media, India statistics, and news articles on the key policies undertaken by PM Narendra Modi during his current tenure. We explore using causal and diagnostic reasoning to find new insights on the factors sha** his win or no-win, verdict on his government strength and weakness. Our Bayesian model reveals that the current Prime Minister Modi has 61.4% chances of winning the upcoming 2019 elections.
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Sanga, A., Samuel, A., Rathaur, N., Abimbola, P., Babbar, S. (2020). Bayesian Prediction on PM Modi’s Future in 2019. In: Singh, P., Kar, A., Singh, Y., Kolekar, M., Tanwar, S. (eds) Proceedings of ICRIC 2019 . Lecture Notes in Electrical Engineering, vol 597. Springer, Cham. https://doi.org/10.1007/978-3-030-29407-6_64
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DOI: https://doi.org/10.1007/978-3-030-29407-6_64
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