Research on the Changing Trend of Employment-Relevant Terms Based on Internet Big Data Analysis

Abstract

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.