About this document
C4.5 Algorithm for E-Commerce Sentiment Analysis by maulanap599 is a document available to read on EtoBox.
This study evaluates the C4.5 Decision Tree Learning Algorithm for sentiment analysis of e-commerce application reviews on the Google Play Store, achieving an average accuracy of 92.63%. The research involved analyzing 940 reviews, classifying them into positive, negative, and neutral sentiments, and utilized a confusion matrix for performance measurement. The findings suggest that the C4.5 algorithm effectively aids consumers in selecting e-commerce applications based on user feedback.
- Author
- maulanap599
- Language
- EN