NLP-Based Sentiment Analysis with Machine Learning Model for Election Campaign—A Survey

Abstract

The election campaign provides the evaluation and experience of the voters. The analysis of an election campaign comprises the different twists and turns to monitor and evaluate the situation in the elections. India is one of the biggest democratic countries with different languages, races, and policies. Through manual processing in the election, the campaign government can control the situation. The opinion of the voters is a key factor in the determination of the election results. Hence, it is necessary to process the opinion of the voters to get a clear view of the election. To gain knowledge from the opinion of the voter, machine learning (ML)-based techniques are implemented to classify the voter’s opinion about political parties and candidates of the parties. In ML, sentiment analysis is the key factor in the identification of the opinion about parties to estimate the positive and negative opinions of voters. This paper presented a survey about ML and classification techniques in the NLP-based election campaign process. Also, to process the opinion of the people, natural language processing (NLP) is effective for processing. In the NLP process, sentiment analysis is a key factor to identify the opinion of the voters about political parties and candidates. The estimation is based on the evaluation of the election campaign for the computation of the opinion of the voters in the election campaign evaluation. The opinion about candidates and views of the candidates are evaluated in the analysis.