The increase in the global sugar-free trend and interest in sugar-free products has resulted in most consumers becoming more interested in products with low or no sugar content. This study explored consumer perceptions of sugar-free products through text network analysis using big data. After collecting the texts, 50 key words were extracted through frequency analysis and TF-IDF analysis. Subsequently, they were categorized into four clusters using degree centrality analysis, social network analysis, and CONCOR analysis, to arrive at the implications. The limitations of the study were then listed.

Abstract
I. 서 론
II. 연구 내용 및 방법
    1. 무설탕 관련 연구 동향
    2. 텍스트 네트워크 분석 선행연구
    3. 연구과제
    4. 자료 조사 수집 및 분석 절차
III. 결과 및 고찰
    1. 자료 수집결과
    2. 빈도분석 및 TF-IDF 분석결과
    3. CONCOR분석 결과
IV. 요약 및 결론
저자정보
감사의 글
Conflict of Interest
References

• 장정민(장안대학교 호텔조리베이커리과) | Jeong Min Jang (Department of Hotel Culinary art and Baking, The Graduate School of Jangan University) Corresponding author