Evaluating embedding models for text classification in apartment management
The recent proliferation of embedding models has enhanced the accessibility of textual data classification. However, the crucial challenge is evaluating and selecting the most effective embedding model for a specific domain from a vast number of options. In this study, we address this challenge by...
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| Format: | Article |
| Language: | English |
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Vilnius Gediminas Technical University
2025-04-01
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| Series: | International Journal of Strategic Property Management |
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| Online Access: | https://ijspm.vgtu.lt/index.php/IJSPM/article/view/23637 |
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| author | Changro Lee |
| author_facet | Changro Lee |
| author_sort | Changro Lee |
| collection | DOAJ |
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The recent proliferation of embedding models has enhanced the accessibility of textual data classification. However, the crucial challenge is evaluating and selecting the most effective embedding model for a specific domain from a vast number of options. In this study, we address this challenge by assessing the performance of embedding models based on their effectiveness in downstream tasks. We analyze consultation records maintained by an apartment management body in South Korea, and convert this textual data into numerical representations using various embedding models. The vectorized text is then categorized using a k-means clustering algorithm. The downstream task, specifically, the classification of consultation records, is evaluated using a quantitative metric (Silhouette score) and qualitative approaches (domain-specific knowledge and visual inspection). The qualitative approaches yield more reliable results than the quantitative approach. These findings are expected to be valuable for the various stakeholders in property management.
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| format | Article |
| id | doaj-art-3207f9fecc57449eb88d6dc3d0a13f73 |
| institution | DOAJ |
| issn | 1648-715X 1648-9179 |
| language | English |
| publishDate | 2025-04-01 |
| publisher | Vilnius Gediminas Technical University |
| record_format | Article |
| series | International Journal of Strategic Property Management |
| spelling | doaj-art-3207f9fecc57449eb88d6dc3d0a13f732025-08-20T03:13:22ZengVilnius Gediminas Technical UniversityInternational Journal of Strategic Property Management1648-715X1648-91792025-04-0129210.3846/ijspm.2025.23637Evaluating embedding models for text classification in apartment managementChangro Lee0Department of Real Estate, Kangwon National University, 1 Kangwondaehak-gil, 24341 Chuncheon, Gangwon-do, Republic of Korea The recent proliferation of embedding models has enhanced the accessibility of textual data classification. However, the crucial challenge is evaluating and selecting the most effective embedding model for a specific domain from a vast number of options. In this study, we address this challenge by assessing the performance of embedding models based on their effectiveness in downstream tasks. We analyze consultation records maintained by an apartment management body in South Korea, and convert this textual data into numerical representations using various embedding models. The vectorized text is then categorized using a k-means clustering algorithm. The downstream task, specifically, the classification of consultation records, is evaluated using a quantitative metric (Silhouette score) and qualitative approaches (domain-specific knowledge and visual inspection). The qualitative approaches yield more reliable results than the quantitative approach. These findings are expected to be valuable for the various stakeholders in property management. https://ijspm.vgtu.lt/index.php/IJSPM/article/view/23637embedding modeltext dataclusteringdomain-specific knowledgeapartment management |
| spellingShingle | Changro Lee Evaluating embedding models for text classification in apartment management International Journal of Strategic Property Management embedding model text data clustering domain-specific knowledge apartment management |
| title | Evaluating embedding models for text classification in apartment management |
| title_full | Evaluating embedding models for text classification in apartment management |
| title_fullStr | Evaluating embedding models for text classification in apartment management |
| title_full_unstemmed | Evaluating embedding models for text classification in apartment management |
| title_short | Evaluating embedding models for text classification in apartment management |
| title_sort | evaluating embedding models for text classification in apartment management |
| topic | embedding model text data clustering domain-specific knowledge apartment management |
| url | https://ijspm.vgtu.lt/index.php/IJSPM/article/view/23637 |
| work_keys_str_mv | AT changrolee evaluatingembeddingmodelsfortextclassificationinapartmentmanagement |