Predicting Election Results with Machine Learning—A Review
WEBSep 1, 2023 · The questions determined in this research work are RQ1: Identify the most used machine learning models for predicting election results; RQ2: Identify the accuracy rate of the models used; and RQ3: Identify the mean absolute error …
Predicting Election Outcomes with Machine Learning: A Tutorial
WEBApr 18, 2023 · In this tutorial, we have learned how to use machine learning techniques to predict the outcome of an election using historical voting data and other relevant information.
Analyzing Election Results and Predictions Using Machine Learning
WEBNov 30, 2023 · Then the main focus after pre-data processing is to assume the results using popular machine-learning algorithms on clustered data, compare the delicacy results, and predict the best possible...
Trend Analysis and Predictive Modeling Using Machine ... - Springer
WEBJul 16, 2021 · This section describe the models used in paper for prediction of election results. Candidate probability of wining can easily be predicted using historical dataset based on individual performance and party performance on particular seat as recorded in earlier elections.
sydney-machine-learning/sentimentanalysis-USelections
WEBWe investigate if sentiment analysis can provide an indication of the results outcome using canonical LSTM and BERT language models. Our results show that sentiment analysis can form a general basis for modelling election outcomes where the BERT model indicated Biden winning the elections.
(PDF) Deep learning-based election results prediction using Twitter ...
WEBAug 1, 2022 · This paper presents a machine learning model based on sentiment analysis to predict Pakistan's general election results. In a general election, voters vote for their favorite party or...
WEBIn this work, we perform a hybrid method of both the machine learning algorithm and the sentiment analysis on the state level with various independent variables including census data, economic indicators, polling averages, and …
WEBThere are many approaches of utilizing machine learning algorithms to predict the US election result. I will examine three approaches that are the most popular nowadays and compare the results of the predictions with the actual election result. Since we all know that Joe Biden has
A Machine Learning Based Strategy for Election Result Prediction
WEBMost approaches can predict the result of a national election. However, it is still challenging to predict the overall results of many local elections. This paper presents a machine learning based strategy to analyze Twitter data for predicting the overall results of many local elections.
WEBWe use twitter data to predict outcome of election by collecting twitter data and analyze it to predict the outcome of the election by analyzing sentiment of twitter data about the candidates. We used Machine learning and lexicon based approach to find emotions in tweets and predict sentiment score.
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