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A web text mining approach for the evaluation of regional characteristics at the town level

文献类型：期刊论文

作者Wang, Shu1; Qian, Lang2; Zhu, Yunqiang1,3; Song, Jia1,3; Lu, Feng1,3,4,5; Zeng, Hongyun6; Chen, Pengfei1; Yuan, Wen1; Li, Weirong1,4; Geng, Wenguang7
刊名TRANSACTIONS IN GIS
出版日期2021-07-22
页码30
ISSN号1361-1682
DOI10.1111/tgis.12763
通讯作者Zhu, Yunqiang(zhuyq@lreis.ac.cn)
英文摘要The evaluation of regional characteristics can reveal the advantages of local industries that are significant to guide regional industrial restructuring and industrial layout. Detailed guidance requires fine-grained evaluations of the regional characteristics, especially at the town level, since towns are the locations of industry. Existing evaluation methods, such as the location quotient and the Porter diamond model, depend on statistical data to compare the advantages of regional characteristics in different regions. Statistical data have fixed statistical items and spatial units that limit the content and granularity, respectively, of the evaluation. In existing methods, non-covered industries and under-counted units, especially at the town level and below, result in incomplete descriptions of the regional characteristics. In contrast, web text in the current internet era contains numerous descriptions of regional characteristics. Therefore, web text can potentially be used to evaluate these characteristics. This article proposes a novel web-based method for the evaluation of regional characteristics (WERC). According to the features of the regional characteristics of the town in the web texts, the WERC method uses the term frequency method to extract the typical characteristics of the region by crawling text on websites and compares the relative advantage of the typical characteristics between different regions to determine the outstanding regional characteristics. WERC is used in a case study to evaluate the regional characteristics of 1,090 towns in Fujian Province, China, obtaining high precision (0.946) and recall (0.895). Unlike existing methods, the proposed method provides comprehensive quantitative town portraits to describe the regional characteristics. The town portrait not only shows the advantages of the typical characteristics of the town, but also quantifies the advantages using a ranking of the typical characteristics. The results can guide regional industrial restructuring and industrial layout and provide a novel approach for the evaluation of regional characteristics based on web text.
WOS关键词REVEALED COMPARATIVE ADVANTAGE ; COMPETITIVE ADVANTAGE ; SUSTAINABLE DEVELOPMENT ; INDUSTRY ; INDEX ; RESOURCES ; FREQUENCY ; SUCCESS ; ENERGY
资助项目Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100100] ; National Natural Science Foundation of China[41631177] ; National Natural Science Foundation of China[41771430]
WOS研究方向Geography
语种英语
WOS记录号WOS:000678135900001
出版者WILEY
资助机构Strategic Priority Research Program of the Chinese Academy of Sciences ; National Natural Science Foundation of China
源URL[http://ir.igsnrr.ac.cn/handle/311030/164819]  
专题中国科学院地理科学与资源研究所
通讯作者Zhu, Yunqiang
作者单位1.Chinese Acad Sci, State Key Lab Resources & Environm Informat Syst, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China
2.South China Normal Univ, Comp Sch, Guangzhou, Peoples R China
3.Jiangsu Ctr Collaborat Innovat Geog Informat Reso, Nanjing, Peoples R China
4.Univ Chinese Acad Sci, Beijing, Peoples R China
5.Fuzhou Univ, Acad Digital China, Fuzhou, Peoples R China
6.Yunnan Univ, Sch Earth Sci, Kunming, Yunnan, Peoples R China
7.Shandong Univ Technol, Sch Civil Architectural Engn, Zibo, Peoples R China
推荐引用方式
GB/T 7714		 Wang, Shu,Qian, Lang,Zhu, Yunqiang,et al. A web text mining approach for the evaluation of regional characteristics at the town level[J]. TRANSACTIONS IN GIS,2021:30.
APA Wang, Shu.,Qian, Lang.,Zhu, Yunqiang.,Song, Jia.,Lu, Feng.,...&Geng, Wenguang.(2021).A web text mining approach for the evaluation of regional characteristics at the town level.TRANSACTIONS IN GIS,30.
MLA Wang, Shu,et al."A web text mining approach for the evaluation of regional characteristics at the town level".TRANSACTIONS IN GIS (2021):30.

入库方式： OAI收割

来源：地理科学与资源研究所

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