This Flask-based web application performs sentiment analysis on public opinions about QRIS (Quick Response Code Indonesian Standard). The analysis results are presented through the website, showing sentiment analysis results from CSV files containing comments/opinions about QRIS, sentiment percentages in pie charts, and word clouds for each sentiment category.

The sentiment analysis is done by comparing machine learming-based Logistic Regression and lexicon-based Lexicon model. The sentiment analysis results are shown in a pie chart and a word cloud.