E3S Web Conf.
Volume 251, 20212021 International Conference on Tourism, Economy and Environmental Sustainability (TEES 2021)
|Number of page(s)||4|
|Section||Analysis of Energy Industry Economy and Consumption Structure Model|
|Published online||15 April 2021|
Research on the Changing Trend of Employment-Relevant Terms Based on Internet Big Data Analysis
Wuhan Qingchuan University, Donghu New Technology Development Zone, Wuhan, Hubei, China
a Corresponding author: firstname.lastname@example.org
With publicly-available data collected from mainstream information platforms, this study used the term frequency inverse document frequency (TF-IDF) algorithm to detect 74 popular terms and phrases about employment, analyzed the changes in the ranking of these terms and phrases, and visualized the changing trend in the attention to employment skills from 2017 to 2019. The research result will facilitate application of big data technology to teaching administration in colleges, and provide a guide for college students to plan their study of vocational skills.
© The Authors, published by EDP Sciences, 2021
This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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