Cultural Tourism Management and Innovation based on Big Data

Based on online comments, this paper uses big data analysis methods to explore the factors that affect tourists’ satisfaction with the historical and cultural block of Fuzhou’s three lanes and seven alleys. It is beneficial for general tourists and tourism operators to plan travel itineraries, and it is also beneficial for scenic spot managers to maintain and manage facilities and improve services. Through the semantic network, sentiment analysis, and LDA topic model analysis, it is found that the factors that affect tourists’ satisfaction mainly focus on local features, scenic spots, commercial development, and overall feelings.