A Tourist Spot Recommendation Method Based on Image Search and Sentiment Analysis
Kouki Oooka, Yuanyuan Wang · 2022 IEEE 11th Global Conference on Consumer Electronics (GCCE) · 2022
This paper proposes a method for supporting travel planning and sightseeing tours focusing on image search, to recommend tourist spots with high satisfaction based on sentiment analysis by computing image scores and sentiment scores. To compute image scores, we calculate both the visual and textual similarities between user-input photos and representative photos of tourist spots. To compute sentiment scores, we perform a sentiment analysis on the color information and the reviews of tourist spots to recommend tourist spots with high satisfaction. Finally, we evaluated and discussed our proposed method through the image search using the real sightseeing photo data.