KOREASCHOLAR

This study examined consumer perceptions and market trends of Korean food products sold on Amazon, focusing on keyword and review analysis. As Korean cuisine gains global attention, particularly in the U.S., it is essential to understand how international consumers perceive these products. Data were collected from Amazon, encompassing product details and customer reviews of Korean food categories. Frequently mentioned keywords in the reviews were identified, and customer sentiments were explored using Python-based data analysis. The results suggest that taste, especially spiciness and sweetness, is a key determinant of consumer satisfaction. Although Korean food was generally well-received, packaging and delivery issues were common complaints. These findings provide strategic insights for Korean food manufacturers aiming to expand globally, emphasizing the need for tailored product development and enhanced logistics.

Abstract
I. Introduction
II. Materials and Methods
    1. Data collection
    2. Data preprocessing
    3. Basic statistics of Amazon review
    4. Word frequency analysis
III. Result and Discussion
    1. Basic statics of Amazon reviews
    2. Word frequency analysis result
    3. Discussion
IV. Summary and Conclusion
Conflict of Interest
References

• Hee Yoon Kwon(Department of Food Nutrition, Gachon University, Korea)
• Hee Jin Um(Department of Food Nutrition, Gachon University, Korea)
• Sung-Bum Kim(Department of Business Administration, Inha University, Korea) Corresponding author
• Eunhye Park(Department of Food Nutrition, Gachon University, Korea) Corresponding author