Textual data analysis for enhancing housing management

Changro Lee

International Journal of Housing Markets and Analysis, 2025, vol. 19, issue 4, 1031-1052

Abstract: PurposeDespite the ubiquitous presence of textual data in daily life and their significance for businesses, textual data have not been investigated proactively in the housing industry. The unstructured nature of textual data is a key obstacle. This study aims to address this gap by fully using text documents related to housing management and providing both residents and property managers with insights.Design/methodology/approachUsing text vectorization methods, such as term frequency-inverse document frequency and word embeddings, 9,023 consultation records from the Seoul Support Center for Apartment Management were converted into numeric data. Subsequently, the numeric data were fed into a k-means clustering algorithm for document classification.FindingsEight distinct clusters were identified and analyzed. Each cluster represents a unique category: general inquiries, management regulations, vendor company selection, residents’ representative council, budgeting, interpretation of laws, long-term repair plans and the ministry responsible for apartment management.Originality/valueThe approach adopted in this study is expected to enhance housing management practices by facilitating the prompt classification of resident inquiries, thereby optimizing housing policies and practice.

Keywords: Apartment management; Text-vectorization; Clustering; Local government; Housing policy; Textual data (search for similar items in EconPapers)
Date: 2025
References: Add references at CitEc
Citations:

Downloads: (external link)
https://www.emerald.com/ijhma/article/19/4/1031/12 ... or-enhancing-housing (text/html)
https://www.emerald.com/ijhma/article-pdf/19/4/103 ... a-01-2025-0005en.pdf (application/pdf)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:eme:ijhmap:ijhma-01-2025-0005

DOI: 10.1108/IJHMA-01-2025-0005

Access Statistics for this article

International Journal of Housing Markets and Analysis is currently edited by Dr Richard Reed

More articles in International Journal of Housing Markets and Analysis from Emerald Group Publishing Limited
Bibliographic data for series maintained by Emerald Support ().