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Election Result Prediction System using Hidden Markov Model [HMM]
| International Journal of Computer Applications |
| Foundation of Computer Science (FCS), NY, USA |
| Volume 129 - Number 3 |
| Year of Publication: 2015 |
| Authors: Mohd. Manjur Alam, Md. MezbahUddin, Shamsun Nahar Shoma |
10.5120/ijca2015906774
|
Mohd. Manjur Alam, Md. MezbahUddin, Shamsun Nahar Shoma . Election Result Prediction System using Hidden Markov Model [HMM]. International Journal of Computer Applications. 129, 3 ( November 2015), 1-4. DOI=10.5120/ijca2015906774
Abstract
Election is an important part of political and social science. It can be defined in the field of Game as the winning chance of a team and TV reality show where candidates are the participants and decide if the participants will stay or not based on public votes. The election result can be predicted before the actual outcome using a prediction method. There are many methods, theory, and research to predict election result. Election prediction is very significant for the candidates and the society. It is normally based on some factors such as numbers of years in active politics, Popularity, Vote Bank, Development performance, Currently in Govt., View of voters towards party, Major Issue, Party/Independent and Internal War. In this paper a most famous model named Hidden Markov Model has been used to predict the results using these parameters.
References
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