Deciphering Consumer Skin Care Needs: Analyzing Sentiments and Review Topics of Cetaphil Facial Wash Across Diverse Skin Types

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Dinda Ockta Nooryawati, Fitra Abdurrachman Bachtiar, Achmad Ridok

2023 Proceeding - International Conference on Information Technology and Computing 2023, ICITCOM 2023 Conference paper Cited by 3 Quartile

Abstract

This research aims to understand the usage and perception of skincare products, specifically focusing on the facial wash from the Cetaphil brand. A survey revealed that a significant number of women invest in skincare monthly, yet many still lack confidence in their skin's appearance. Despite the plethora of skincare products available, many users still face confusion in choosing the right product, leading to a trial and error approach. This study attempts to map the use of skincare products and identify specific points that can address various skin problems. The research employs sentiment analysis and topic classification to analyze user reviews, aiming to provide insights into user perspectives on skincare products. The sentiment analysis, using the IndoBERT method, achieved an average accuracy of 85% and an F1-score of 93%. Topic classification, on the other hand, achieved an accuracy of 93.49% and an F1-score of 90.28%. The findings suggest that while many users find Cetaphil products beneficial, there are specific skin concerns that the product may not address for everyone. This study provides valuable insights for both consumers and skincare brands, emphasizing the importance of understanding user feedback and tailoring products to meet diverse skincare needs. © 2023 IEEE.

Affiliations

Brawijaya University, Faculty of Computer Science, Malang, Indonesia