TY - JOUR
KW - Crawler technology
KW - Economic and social effects
KW - Economic potentials
KW - Garment manufacture
KW - High-frequency words
KW - Intangible cultural heritages
KW - K-mean algorithms
KW - K-means clustering
KW - LDA topic modeling
KW - Leisure industry
KW - Text-mining
KW - topic modeling
KW - Tourism
KW - Tourism industry
KW - Web crawler
KW - Yunnan colored painting
AU - Zeling Zheng
AB - Intangible cultural heritage has important historical, cultural, and spiritual values. This paper selects the intangible cultural heritage of Yunnan Painting, the national architectural decoration of Dali, as the case study object. We use web crawler technology to extract the consumer s comment text data, establishing the Yunnan Painting consumer comment text dataset. Secondly, we extract high-frequency words from the dataset using text mining technology, TF-IDF keyword extraction, and LDA themes, and cluster them using the K-means method. Finally, we evaluate the economic potential of Yunnan Painting in terms of consumers  cognitive abilities and the emotional appeal of its products, based on the extracted results. The study reveals that the dressmaking, painting, and tourism industries are the main economic activities of Yunnan color painting, with the tourism industry requiring further strengthening. According to the text mining of high-frequency words, the frequency of "product"in Yunnan painting was the highest at 296 times, followed by "culture,""technology,""cultural creativity,"and "theme."The analysis of consumers  emotional text features reveals that most consumers have positive emotions towards Yunnan-colored paintings, while very few have negative emotions. The economic optimization strategy that is proposed is based on the results and provides a reference value for the economic development of other intangible cultural heritage.
DO - 10.2478/amns-2024-3187
M1 - 1
N1 - Type: Article
N2 - Intangible cultural heritage has important historical, cultural, and spiritual values. This paper selects the intangible cultural heritage of Yunnan Painting, the national architectural decoration of Dali, as the case study object. We use web crawler technology to extract the consumer s comment text data, establishing the Yunnan Painting consumer comment text dataset. Secondly, we extract high-frequency words from the dataset using text mining technology, TF-IDF keyword extraction, and LDA themes, and cluster them using the K-means method. Finally, we evaluate the economic potential of Yunnan Painting in terms of consumers  cognitive abilities and the emotional appeal of its products, based on the extracted results. The study reveals that the dressmaking, painting, and tourism industries are the main economic activities of Yunnan color painting, with the tourism industry requiring further strengthening. According to the text mining of high-frequency words, the frequency of "product"in Yunnan painting was the highest at 296 times, followed by "culture,""technology,""cultural creativity,"and "theme."The analysis of consumers  emotional text features reveals that most consumers have positive emotions towards Yunnan-colored paintings, while very few have negative emotions. The economic optimization strategy that is proposed is based on the results and provides a reference value for the economic development of other intangible cultural heritage.
TI - Tapping the Economic Potential and Optimizing Strategies of Intangible Cultural Heritage under Digital Transformation
UR - https://www.scopus.com/inward/record.uri?eid=2-s2.0-85208285249&doi=10.2478%2famns-2024-3187&partnerID=40&md5=f9a7fd4053cf3332c940dc2cb7957329
VL - 9
ER -