Research on the Characteristics of High-Level Talents in Culture and Tourism Industryand Education Mode for its Development

Abstract

It is quite important to strengthen the training of high-level talents in culture and tourism industry to boost the high-quality development of China's tourism industry.Based on big data mining technology, this paper selects 12 cities of different sizes in 58 cities as research objects, and uses word frequency analysis and semantic network analysis to explore the status quo, trend, demand characteristics and industry talent structure of urban tourism recruitment.The results show that job seekers are most concerned about social security and welfare, as well as living costs, such as accommodation, meals and five insurances and one fund, rather than flexibility in salary negotiations, indicating that job seekers pay more attention to stability and quality of life.The recruitment positions cover tour guides, tourism consultants, scenic spot management, hotel services and other aspects, which reflects the diversified demand for talents in the tourism industry.The connection between different positions indicates that the tourism industry may be more inclined to recruit comprehensive talents with various abilities, such as "technology", "operation" and other technology-related positions, which may indicate that the tourism industry is transforming to digital.In addition, regional differentiation isalso widespread, and relevant policysuggestions to promote tourismeducation are given.