@inproceedings{0c2a0f8b209045918a76972f66721edb,
title = "Auto-classification of government department-specific news articles",
abstract = "The purpose of this study is to propose an unsupervised learning-based method for automatic classification of news articles using a dictionary, incorporating the attributes of each administrative department. The results of auto-classification of news articles for individual departments showed 71\% accuracy. A classification technique using unsupervised learning may be utilized to automatically classify documents without labels when gathering policy issues for individual administrative departments.",
keywords = "Administrative agency, Auto classification, Document classification, Policy issue, Unsupervised learning",
author = "Lee, \{Sae Mi\} and Ryu, \{Seung Eui\} and Ahn, \{Soon Jae\}",
note = "Publisher Copyright: {\textcopyright} 2019 IEEE.; 6th Annual International Conference on Computational Science and Computational Intelligence, CSCI 2019 ; Conference date: 05-12-2019 Through 07-12-2019",
year = "2019",
month = dec,
doi = "10.1109/CSCI49370.2019.00286",
language = "English",
series = "Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019",
publisher = "Institute of Electrical and Electronics Engineers Inc.",
pages = "1539--1540",
booktitle = "Proceedings - 6th Annual Conference on Computational Science and Computational Intelligence, CSCI 2019",
}