Public Sentiment Analysis of Indonesian Tweets About COVID-19 Vaccination Using Different Machine Learning Approaches

More than two years after the start of the coronavirus disease (COVID-19) pandemic, the whole world continues to be impacted by this global crisis. Indonesians use the social media platform Twitter to share information and opinions about coronavirus disease (COVID-19) vaccination. This study was conducted to determine the views of Indonesians toward the government's COVID-19 vaccination program and to test the capability of several machine learning techniques to classify sentiments expressed on Twitter. The performance of four machine learning algorithms was tested: the Naïve Bayes, k-Nearest Neighbors (kNN), Decision Tree, and Support Vector Machine (SVM) algorithms. The findings show that the SVM algorithm exhibited the best performance in terms of accuracy (92%) compared to the Naïve Bayes, kNN, and Decision Tree algorithms. A grid search technique was also used to optimize performance based on parameter settings in the algorithm used. © 2022 IEEE.

AUDIT QUALITY DURING THE COVID-19 PANDEMIC: ANALYSIS OF PROCEDURES, COSTS, REPORTING TIME PRESSURE AND AUDIT SITUATIONS

This study determined the effect of audit procedures, audit fees, time budget pressure, and auditor skepticism on audit quality with the COVID-19 pandemic audit situation as an intervening variable, either partially or simultaneously. The method used in this study is a quantitative approach, the design used is a survey, a questionnaire is used as a research instrument, and then statistical analysis uses path analysis on the answers of 37 auditors who are domiciled in Bandung Raya. The results show that the COVID-19 pandemic audit situation is an intervention that affects audit quality, partially that audit procedures have a positive and significant effect on audit quality, while audit fees, time budget pressure, and auditor skepticism show no significant effect on audit quality. . The results simultaneously show that audit procedures, audit fees, time budget pressure, and auditor skepticism have a positive and significant effect on audit quality with the COVID-19 pandemic audit situation as an intervening variable. Precisely this study shows the need for audit reform by evaluating the current phenomenon (COVID-19) that is happening. And urgent reforms need to be done so that audit quality is always dynamic and current. This will provide a solution to the application of technology and the psychological value of those involved. © 2022 Science Press. All rights reserved.