Dataset of People's Comments on X Platform for Indonesian Cosmetic Brand

This thesis analyzes customer satisfaction in response to the closure of SYCA, a popular Indonesian cosmetic brand, using sentiment analysis techniques. The study examines customer feedback collected from social media platform X (formerly Twitter) between 2022 and 2024. By applying the Naïve Bayes algorithm within the CRISP-DM framework, it categorizes sentiments as positive or negative. Findings indicate that most consumers expressed positive sentiment and disappointment due to SYCA’s closure, emphasizing the brand's perceived quality and emotional attachment. This research aims to provide insights for local cosmetic brands to enhance customer satisfaction and sustainability amidst industry challenges.