The Text Mining Application of “Intelligent Government Affairs”
- DOI
- 10.2991/assehr.k.200826.274How to use a DOI?
- Keywords
- TF-IDF, F-score, correlation coefficient, significance level
- Abstract
In recent years, with WeChat, microblog, mayor’s mailbox and other network political platforms continue to become an important channel for the government to understand public opinion, gather people’s wisdom, and condense people’s morale. The number of texts of various data has increased sharply. The traditional manual data processing methods have appeared problems such as low efficiency and tedious work. Therefore, it is of great significance to use text analysis and data mining methods to deal with mass messages and improve the efficiency of government. In this paper, based on the records of people’s political questions, through some algorithms and some mathematical tools, this paper analyzes the hot areas and hot issues, and gives a set of evaluation scheme for the quality of the reply from the perspective of relevance, integrity and interpretability. Finally, the reliability of the score is verified by various formulas, which shows that the model has high accuracy.
- Copyright
- © 2020, the Authors. Published by Atlantis Press.
- Open Access
- This is an open access article distributed under the CC BY-NC license (http://creativecommons.org/licenses/by-nc/4.0/).
Cite this article
TY - CONF AU - Huang Runchen AU - Wang Benhui AU - Yang Wenjue PY - 2020 DA - 2020/08/28 TI - The Text Mining Application of “Intelligent Government Affairs” BT - Proceedings of the 2020 4th International Seminar on Education, Management and Social Sciences (ISEMSS 2020) PB - Atlantis Press SP - 1328 EP - 1332 SN - 2352-5398 UR - https://doi.org/10.2991/assehr.k.200826.274 DO - 10.2991/assehr.k.200826.274 ID - Runchen2020 ER -