Method Development of Evaluating Government Public Service Performance Based on Big Data Technology Using Social Media Data as Evaluation Data

Zhan Yun

2022

Abstract

In the era of big data, it is of great significance to develop a method to evaluate the performance of government public services based on big data and technical application. This paper takes social media data as the evaluation data. It uses the natural language processing technology of big data to establish a set of special, comprehensive and systematic new methods for government public service performance evaluation. They include: (1) method of collecting social media data based on Python web crawler technology; (2) evaluation index screening method based on word frequency analysis technology; (3) method of determining index weight based on discriminant rate technique; (4) method of calculating performance score based on sentiment analysis; (5) visualization method of public service performance based on performance matrix; (6) method of mining the influencing factors of public service performance based on semantic network analysis technology. The contribution of this study is that it is of great value to improve and innovate the evaluation method of government public service performance, and has a strong promotion significance.

Paper Citation

in Harvard Style

Yun Z. (2022). Method Development of Evaluating Government Public Service Performance Based on Big Data Technology Using Social Media Data as Evaluation Data. In Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA; ISBN 978-989-758-658-3, SciTePress, pages 18-22. DOI: 10.5220/0012069300003624

in Bibtex Style

@conference{pmbda22,
author={Zhan Yun},
title={Method Development of Evaluating Government Public Service Performance Based on Big Data Technology Using Social Media Data as Evaluation Data},
booktitle={Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA},
year={2022},
pages={18-22},
publisher={SciTePress},
organization={INSTICC},
doi={10.5220/0012069300003624},
isbn={978-989-758-658-3},
}

in EndNote Style

TY - CONF

JO - Proceedings of the 2nd International Conference on Public Management and Big Data Analysis - Volume 1: PMBDA
TI - Method Development of Evaluating Government Public Service Performance Based on Big Data Technology Using Social Media Data as Evaluation Data
SN - 978-989-758-658-3
AU - Yun Z.
PY - 2022
SP - 18
EP - 22
DO - 10.5220/0012069300003624
PB - SciTePress