Purchase Intention and Sentiment Analysis on Twitter Related to Social Commerce

Social commerce is a digital and efficient solution to transform existing address contemporary issues. TikTok Shop, popular trending social platform, competes with established competitors like Facebook Marketplace Instagram Shop. Shop offers benefits incentives attract users for both sales product purchases. In this study, various algorithmic approaches such as Naïve Bayes, K-Nearest Neighbor, Support Vector Machine, Logistic Regression, Decision Tree, Random Forest, LGBM Boost, Ada Voting Classifier are utilized analyze compare sentiments expressed on Twitter regarding Facebook, Instagram, TikTok. The aim determine the methods best performance identify platform highest purchase intention positive sentiment. results indicate that has more sentiment than at 93.07% best-performing classification model, Tree. conclusion, exhibits percentage, indicating greater number of reviews compared Instagram. According theory evaluation scores measuring model performance, values above 0.90 represent models good performance.