Author(s)

Junlou Li , Zhiyang Chang

Corresponding Author

Zhiyang Chang

ABSTRACT

Systematically grasping the dynamic change of market demand for tourism talents under the impact of novel Coronavirus Pneumonia (COVID-19) is of great significance to the cultivation of cultural and tourism talents in China. In view of the lack of rapid, real-time, comprehensive and accurate insight into the talent market demand in Higher Vocational Tourism Colleges, this paper designs a quality analysis framework system for the job demand of tourism talents, uses web crawler technology to capture recruitment information. Dictionary of tourism talent quality was established under the impact of COVID-19 in 2020 by using text mining technology, cluster analysis and fish bone analysis. It is found that the dictionary of tourism talent quality in China can be divided into two categories: professional quality, knowledge and ability. Due to the impact of COVID-19, the industry's demand for innovative talents, information technology application capabilities, marketing capabilities, financial knowledge and application abilities is particularly urgent. Based on this, this paper puts forward the path to improve the quality of tourism talents training under the impact of COVID-19 from the aspects of paying attention to the cultivation of compound innovative talents, strengthening the injection of ideological and political education elements, adapting to the adjustment of national macro strategy, increasing the integration of information technology application, and responding to the continuous adjustment of tourism industry. The research results can provide reference for the reform of professional talents training in tourism industry and higher vocational tourism colleges.

KEYWORDS

COVID-19, Big data mining, Tourism talents, Job quality demand