As the pet care market continues to expand, pet shampoo products have become an important pet care product category for regular skin and hygiene management, with growing consumer attention to product quality and safety. This study conducted an integrated analysis using Latent Dirichlet Allocation (LDA) topic modeling, sentiment analysis, and Importance-Performance Analysis (IPA) to derive customer requirement attributes for pet shampoo products and identify product improvement priorities based on online review data. A total of 14,072 pet shampoo reviews were collected from Naver Shopping. After preprocessing, 7,103 reviews were used for sentiment analysis and 5,405 reviews were used for LDA topic modeling. Topic proportions derived from LDA were used as a proxy for importance (review salience), and normalized sentiment scores by topic were applied as the performance measure, which were then integrated into an IPA matrix. The analysis identified five customer requirement attributes: user experience and usability, daily preventive skin care, ingredient safety and reliability, skin condition care, and fragrance and coat condition. Daily preventive skin care and skin condition care were positioned in the high-salience, low-performance quadrant, suggesting potential priority areas for product improvement. This study applies a data-driven integrated analytical approach to customer requirement analysis based on online reviews and provides practical implications for supporting consumer-centered new product development and research and development (R&D) decision-making.

1. 서 론
2. 연구배경
    2.1 설문조사와 온라인 리뷰 기반 요구 분석의 비교
    2.2 온라인 리뷰 기반 요구 속성 분석 방법론
3. 연구방법
    3.1 연구 모형
    3.2 데이터 수집
    3.3 데이터 전처리
    3.4 분석 방법
4. 연구결과
    4.1 LDA 토픽모델링 결과
    4.2 감성분석 결과
    4.3 IPA 분석 결과
5. 결 론
Acknowledgement
References

• Sol Han(Department of Intelligent Information Integration Engineering, Jeonbuk National University) | 한솔 (전북대학교 지능정보융합공학과)
• Hyun-Ho Lim(Department of Convergence Management of Technology, Jeonbuk National University) | 임현호 (전북대학교 융합기술경영학과)
• Dae-Woo Choi(Department of Convergence Management of Technology, Jeonbuk National University) | 최대우 (전북대학교 융합기술경영학과) Corresponding author