This study conducts sentiment analysis to understand the meaning of the reviews recorded online after purchasing a product on OPTIMSM, and analyzes whether buyers feel satisfied or dissatisfied, thereby establishing a basis for product improvement and satisfaction enhancement. This was done for use as a reference material. To analyze online reviews, frequency analysis was measured through natural language processing using text mining techniques, and the most frequently mentioned words were compared using this. Next, polarity values for positive and negative reviews were obtained through sentiment analysis, and the influence relationship was identified through regression analysis of polarity values and satisfaction, which is the overall rating of Optimust given by customers who purchased Optimust. Through this analysis, it was shown how the polarity value of the review is related to the rating satisfaction of the overall optimust. As a result of the analysis, customer satisfaction with Optimust products was generally high. In particular, satisfaction with the function and effect of the product was high, and it was found that customers purchased and used the Optimust product to reduce joint pain, improve motor skills, and improve their quality of life. This allows companies to identify areas of greatest interest to their customers and focus on improving their products or services to increase customer satisfaction. In addition, companies will be able to identify customer dissatisfaction and establish strategies to address it.

Abstract
Ⅰ. 서론
Ⅱ. 연구방법
Ⅲ. TF-IDF를 활용 한 단어분석
Ⅳ. 평점 만족도 분석
Ⅴ. 결론
References

• Je-oh Lee(Bucheon Orthopedics, Representative Chairman)
• Seo-hyeon Baek(Brand Refactoring, CEO)