In order to satisfy customers, it is important to identify the quality elements that affect customers’ satisfaction. The Kano model has been widely used in identifying multi-dimensional quality attributes in this purpose. However, the model suffers from various shortcomings and limitations, especially those related to survey practices such as the data amount, reply attitude and cost. In this research, a model based on the text sentiment analysis is proposed, which aims to substitute the survey-based data gathering process of Kano models with sentiment analysis. In this model, from the set of opinion text, quality elements for the research are extracted using the morpheme analysis. The opinions’ polarity attributes are evaluated using text sentiment analysis, and those polarity text items are transformed into equivalent Kano survey questions. Replies for the transformed survey questions are generated based on the total score of the original data. Then, the question-reply set is analyzed using both the original Kano evaluation method and the satisfaction index method. The proposed research model has been tested using a large amount of data of public IT service project evaluations. The result shows that it can replace the existing practice and it promises advantages in terms of quality and cost of data gathering. The authors hope that the proposed model of this research may serve as a new quality analysis model for a wide range of areas.

1. 서 론
2. 기존연구 분석
    2.1 카노 품질모형
    2.2 텍스트 감정분석
    2.3 기존 분석 방식의 한계
3. 연구모형
    3.1 감정분석 기반 데이터 생성 방법
    3.2 품질요소 분석 절차
4. IT 서비스 데이터 분석
    4.1 형태소 분석을 통한 품질요소 선정
    4.2 감정분석을 이용한 질문-답변쌍 생성
    4.3 분석 및 품질요소 분류
    4.4 분석결과 논의
5. 결론 및 향후 연구방안
References

• Hong Sam Kim(한남대학교 산업경영공학과) | 김홍삼
• Chong Su Kim(한남대학교 산업경영공학과) | 김종수 Corresponding Author