| A Text Mining Study on the Utilization of Japanese Literary Museums as Tourism Resources ：Analyzing the Relationships between Literary Museums and Local Tourism through Reviews on “Jalan” and “4travel” |
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| Minhyeok KWON1, Eugene CHUNG2 |
1Ph.D Candidate, Korea University
2Associate Professor, Department of Linguistics, College of Liberal Arts, Korea University |
テキストマイニングから見る日本の文学館の観光的活用の様相 ―― オンラインクチコミに現れる日本全国の文学館と 地域の観光資源との関係を中心に |
| 権民赫1, 鄭有珍2 |
1高麗大学中日語文学科博士課程
2高麗大学言語学科副教授 |
Correspondence
Minhyeok KWON ,Email: ppoorps@naver.com
Eugene CHUNG ,Email: echung2@korea.ac.kr
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Published online: 30 December 2024. |
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Copyright ©2024 The Global Institute for Japanese Studies, Korea University |
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This is an open access article distributed under the terms of the Creative Commons Attribution Non-Commercial License ( http://creativecommons.org/licenses/by-nc/4.0), which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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| ABSTRACT |
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This study investigates the dynamic interconnections between Japan’s regional literary museums and nearby tourism resources, applying advanced text mining techniques to clarify how these museums function as cultural tourism assets. Primary data consists of travel reviews from “Jalan” and “4travel,” systematically extracted through Python’s Selenium package. The mecab-ipadic-neologd lexicon was employed for precise morphological segmentation, with stopwords meticulously removed to improve analytical clarity. Dirichlet-Multinomial Regression (DMR) topic modeling and Heatmap Table visualizations provide robust insights into structural relationships and visitor engagement trends associated with literary museums.
Based on these findings, several key recommendations are proposed. First, the study emphasizes the importance of literary museums as core tourism assets, demonstrating how visitor experiences and semantic trends influence public perceptions of these sites as cultural landmarks and attractions. Second, it offers a framework to strengthen the synergy between literary museums and local tourism resources by mapping visitor engagement patterns, positioning these institutions as integral components within regional tourism ecosystems. Finally, this research offers critical empirical foundations for sustainable cultural tourism strategies, equipping local governments and tourism organizations with nuanced insights to optimize literary museum-centered tourism and foster enriched cultural exchanges between communities and visitors. |
Keywords:
Literary Museum, Local Tourism, Literary Tourism, Text-mining, DMR Topic Modeling
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| キ―ワ―ド:
文学館, 地域観光, 文学観光, テキストマイニング, DMR Topic Modeling |
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