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@article{ART002597972},
author={Park Ju Seop and Sae Mi Lee},
title={Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique},
journal={Informatization Policy},
issn={1598-3498},
year={2020},
volume={27},
number={2},
pages={66-83},
doi={10.22693/NIAIP.2020.27.2.066}

TY - JOUR
AU - Park Ju Seop
AU - Sae Mi Lee
TI - Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique
JO - Informatization Policy
PY - 2020
VL - 27
IS - 2
PB - NIA
SP - 66
EP - 83
SN - 1598-3498
AB - Local issues that occur in cities typically garner great attention from the public. While local governments strive to resolve these issues, it is often difficult to effectively eliminate them all, which leads to complaints. In tackling these issues, it is imperative for local governments to use big data to identify the nature of complaints, and proactively provide solutions. This study applies the LDA topic modeling technique to research and analyze trends and patterns in complaints filed online. To this end, 9,625 cases of online complaints submitted to the city of Busan from 2015 to 2017 were analyzed, and 20 topics were identified. From these topics, key topics were singled out, and through analysis of quarterly weighting trends, four “hot” topics(Bus stops, Taxi drivers, Praises, and Administrative handling) and four “cold” topics(CCTV installation, Bus routes, Park facilities including parking, and Festivities issues) were highlighted. The study conducted big data analysis for the identification of trends and patterns in civil affairs and makes an academic impact by encouraging follow-up research. Moreover, the text mining technique used for complaint analysis can be used for other projects requiring big data processing.
KW - big data analysis;online filings;local administration;LDA topic modeling;text mining
DO - 10.22693/NIAIP.2020.27.2.066
ER -

Park Ju Seop and Sae Mi Lee. (2020). Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique. Informatization Policy, 27(2), 66-83.

Park Ju Seop and Sae Mi Lee. 2020, "Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique", Informatization Policy, vol.27, no.2 pp.66-83. Available from: doi:10.22693/NIAIP.2020.27.2.066

Park Ju Seop, Sae Mi Lee "Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique" Informatization Policy 27.2 pp.66-83 (2020) : 66.

Park Ju Seop, Sae Mi Lee. Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique. 2020; 27(2), 66-83. Available from: doi:10.22693/NIAIP.2020.27.2.066

Park Ju Seop and Sae Mi Lee. "Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique" Informatization Policy 27, no.2 (2020) : 66-83.doi: 10.22693/NIAIP.2020.27.2.066

Park Ju Seop; Sae Mi Lee. Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique. Informatization Policy, 27(2), 66-83. doi: 10.22693/NIAIP.2020.27.2.066

Park Ju Seop; Sae Mi Lee. Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique. Informatization Policy. 2020; 27(2) 66-83. doi: 10.22693/NIAIP.2020.27.2.066

Park Ju Seop, Sae Mi Lee. Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique. 2020; 27(2), 66-83. Available from: doi:10.22693/NIAIP.2020.27.2.066

Park Ju Seop and Sae Mi Lee. "Big Data Analysis of Busan Civil Affairs Using the LDA Topic Modeling Technique" Informatization Policy 27, no.2 (2020) : 66-83.doi: 10.22693/NIAIP.2020.27.2.066