Sentiment Analysis of Election-Based Twitter Data Using POS - NER Powered Lexicon Based Techniques: SAENLT

Sentiment Analysis has been widely used in various areas to know insights into related topics or subjects. The purpose of this study is to analyze Election based Twitter data for forecasting the outcome of the Gujarat Elections 2022 using an in-depth examination of public opinion. Domain-specific Election related Twitter data has been collected to extract relevant information. Further, sentiment analysis techniques have been explored to gain insights into the public's sentiments. The information was gathered by monitoring popular hashtags related to the Gujarat elections, and it was subjected to thorough preprocessing and filtering techniques to assure its accuracy. An expert trend study was also undertaken to extract significant information from trending posts and slogans. The paper also examines prior research on sentiment analysis based approaches for analyzing Elections and predicting the outcome. Our primary goal is to attain the highest level of accuracy in our predictions by integrating sentiment analysis with relevant indicators. The results of this work provide useful insights in the role of social media in predicting election results, allowing for a more thorough knowledge of popular mood and its influence on the electoral environment.