Abstract:
The article that follows demonstrates how to build new characteristics from pre-existing ones and forecast election outcomes using a popular machine learning method. Howe...Show MoreMetadata
Abstract:
The article that follows demonstrates how to build new characteristics from pre-existing ones and forecast election outcomes using a popular machine learning method. However, this paper has observed a method of leveraging social media to anticipate results that is not more precise in the real world, due to the manipulation and usage of bots to quickly increase in popularity, so that the accuracy has gone down. This notepaper shows that a machine learning supervised learning technique which uses the most recent Indian electoral datum for forecasting the overall outcomes of national elections as well as many local results. The findings imply that the forecasting outcomes are close to the actual outcome with more accurate results when compared to the other methodologies. Additionally, because of it is simple, reproducibility, so resistance in opposite to volume manipulation, it outperforms several state-of-the-art approaches. As far as this research aware, this is the initial attempt to verify ML prototype for the forecasting of the 2019 Indian elections.
Published in: 2023 Third International Conference on Artificial Intelligence and Smart Energy (ICAIS)
Date of Conference: 02-04 February 2023
Date Added to IEEE Xplore: 27 March 2023
ISBN Information: