Neighborhood Characteristics in Sejong City: Text Mining Analysis of Civil Complaints

Lee, Joo-Kyung; Kwon, Young-Sang

doi:10.17208/jkpa.2020.04.55.2.15

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…The literature (e.g., [14,[25][26][27][28][29][30]) identifies a series of elements, essential to fully understanding the smart city concept at all levels: infrastructure represents the base, starting with an sufficient supply of electricity and communication perspective (i.e., IT infrastructure and social overhead capital). Data, continuously generated within the smart infrastructure, is another essential ingredient.…”

Section: Literature Review: Smart Cities As An Evolving Conceptmentioning

confidence: 99%

Smart Mobility and Smart Climate: An Illustrative Case in Seville, Spain

López-Pérez¹,

Reyes-García²,

López-Sanz³

2023

IJERPH

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In recent years, smart city projects and initiatives have surged around the globe. Yet, a wide range of factors determine the success or failure of such initiatives and there is still a long road ahead in terms of effective governance and innovation management. In such a context, this study explores the specific case of PCT Cartuja (science and technology park in Seville, Spain)—analyzing several smart-mobility and smart-climate solutions from a Triple Helix Model standpoint. The authors tap into multiple information sources to describe the case and key implications of smart initiatives for both theory and management are discussed. This paper shows the current progress as well as the remaining challenges to illustrate how public-private partnerships and conflict can be effectively managed.

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Section: Literature Review: Smart Cities As An Evolving Conceptmentioning

confidence: 99%

Smart Mobility and Smart Climate: An Illustrative Case in Seville, Spain

López-Pérez¹,

Reyes-García²,

López-Sanz³

2023

IJERPH

View full text Add to dashboard Cite

show abstract

“…Furthermore, Merson and Mary (2017) employing a text mining approach analyze prominent issues from public complaints by analyzing the complaints posted on social networking sites. In the case of South Korea, J. K. Lee and Kwon (2020) showed that issues in public complaints are heterogenous based on regions even in a country. Moreover, J. using Latent Dirichlet Allocation (LDA) models analyzed news big data from 2000 to 2021 in South Korea and demonstrated that public complaints expressed in comments on the news tend to affect government policy outcomes.…”

Section: Literature Reviewmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

The Relationship Between Government Response Speed and Sentiments of Public Complaints: Empirical Evidence From Big Data on Public Complaints in South Korea

et al. 2023

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This article utilizing unique data on 37,655 public complaints in South Korea from April 2021 to March 2022 aims to unveil the association between sentiments in public complaints or petitions and government response speed. We estimate sentiments in each complaint with five morphological analyzers and employ negative binomial regression models. The empirical results demonstrate that public complaints with the sentiment of Fear tend to receive faster governmental responses while complaints with the sentiment of Sorrow are more likely to be addressed slowly. The influence of the sentiment of Fear and Sorrow is consistently robust in logistic event history models, while the sentiment of Anger is not statistically significant anymore. The results contribute to the literature on political psychology by demonstrating that facing public complaints dominated by different sentiments can influence the efficiency of civil servants. At the same time, this article suggests providing periodical counseling and education for civil servants who continuously face waves of negative sentiments to treat public complaints expertly.

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Smart city trends: A focus on 5 countries and 15 companies

Kim

2022

Cities

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Neighborhood Characteristics in Sejong City: Text Mining Analysis of Civil Complaints

Cited by 5 publications

References 9 publications

Smart Mobility and Smart Climate: An Illustrative Case in Seville, Spain

Smart Mobility and Smart Climate: An Illustrative Case in Seville, Spain

The Relationship Between Government Response Speed and Sentiments of Public Complaints: Empirical Evidence From Big Data on Public Complaints in South Korea

Smart city trends: A focus on 5 countries and 15 companies

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