Analysis of public opinion on employment issues using a combined approach: a case study in China-Reference-Cited by-同舟云学术

Analysis of public opinion on employment issues using a combined approach: a case study in China

Published:2024-01-23 Issue:1 Volume:14 Page:
ISSN:2045-2322
Container-title:Scientific Reports
language:en
Short-container-title:Sci Rep

Author:

Chen Chang-Feng,He Heng-Yu,Tong Yu-Xing,Chen Xue-Lin

Abstract

AbstractTo analyze the public opinion related to the employment situation, a combined approach is proposed to study the valuable ideas from social media. Firstly, the popularity of public opinion was analyzed according to the time series from a statistical point of view. Secondly, the feature extraction was carried out on the public opinion information, and the thematic analysis of the employment environment was carried out based on the Latent Dirichlet Allocation model. Thirdly, the Bert model was used to analyze the sentiment classification and trend of the employment-related public opinion data. Finally, the employment public opinion texts in different regions were studied based on the spatial sequence popularity analysis, keyword difference analysis. A case study in China is conducted to verify the effectiveness of proposed combined approach. Results shown that the popularity of employment public opinion reached the highest level in March 2022. Public opinions towards employment situation are negative. There is a specific relationship between the popularity of employment public opinion in different provinces.

Funder

National Natural Science Foundation of China

the Fundamental Research Grant Scheme by the Ministry of Higher Education, Malaysia

Publisher

Springer Science and Business Media LLC

Link

https://www.nature.com/articles/s41598-024-52158-5.pdf

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