Analysis of Public Sentiment on COVID-19 Mitigation Measures in Social Media in the United States Using Machine Learning

Isaiah’s Structure from Random Forest Regression Analysis

“…-big data‖ analysis of accounting information (Nissim, 2022); in detecting the propensity to fall in older adults (Usmani et al, 2021); in analyzing public sentiment (Shahzad et al, 2022;Adamu et al, 2021;Angelopoulou, Mykoniatis, & Smith, 2022); and-most relevant to our analysis-in text classification (Lagutina & Lagutina, 2021;Shah, Patel, Sanghvi, & Shah, 2020;Gupta, Sharma, & Mohapatra, 2021;Khan et al, 2021;Bastian, 2022). And while this is the first RFR analysis of Isaiah, Peuriekeu et al (2021) compare Proverbs, Ecclesiastes, and Wisdom from the Bible to the Quran, Yogasutras (India), Tao Te Ching (China) and the Upanishads after extensive pre-processing of the documents, and subsequently applying various supervised machine learning approaches, including random forest regressions (RFR), but with no formal hypothesis testing involved of the type we engage in here.…”