Extracting and evaluating typical characteristics of rural revitalization using web text mining
文献类型：期刊论文
| 作者 | Fan, Kunkun4,5; Li, Daichao4,5; Wu, Haidong3; Wang, Yingjie2; Yu, Hu2; Zeng, Zhan1 |
| 刊名 | INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE
 |
| 出版日期 | 2023-11-11 |
| 页码 | 25 |
| ISSN号 | 1365-8816 |
| 关键词 | Rural revitalization typical village characteristics web text mining characteristic extraction regional sustainable development |
| DOI | 10.1080/13658816.2023.2280990 |
| 通讯作者 | Li, Daichao(lidc@fzu.edu.cn) |
| 英文摘要 | Evaluating typical rural characteristics reveals certain advantages of rural revitalization and is crucial for understanding rural disparities and promoting development. Field research and statistical data can reflect the spatial distribution of local resources and development models. However, due to cost limitations and statistical constraints, it is impossible to effectively compare and evaluate the characteristics of rural development at the long time series, large scale and fine granularity required for sustainable regeneration. This study proposes a web-based method for the extraction and evaluation of rural revitalization characteristics (WERRC). The BERT-BiLSTM-Attention model categorizes rural web texts according to five themes: industrial prosperity, ecological livability, rural civilization, effective governance, and prosperous life. The Term Frequency-Inverse Document Frequency (TF-IDF) algorithm extracts rural characteristics, and the relative advantages of these features are compared among 100 Chinese villages. WERRC extracts the typical characteristics, obtains the spatial distribution and relative advantage, and then ranks them according to the five themes. The relationship between national policy guidance and rural development is explored. The results support further exploration of differentiated, high-quality development modes that incorporate rural advantages into policy, adjust industrial structure, and optimise revitalization strategies at the rural scale. |
| WOS关键词 | CHINA ; AGRICULTURE |
| 资助项目 | Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23100502] ; National Natural Science Foundation of China[42301523] |
| WOS研究方向 | Computer Science ; Geography ; Physical Geography ; Information Science & Library Science |
| 语种 | 英语 |
| 出版者 | TAYLOR & FRANCIS LTD |
| WOS记录号 | WOS:001101849400001 |
| 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/311030/200226]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Li, Daichao |
| 作者单位 | 1.Hunan Cartog Publishing House, Changsha, Peoples R China 2.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Beijing, Peoples R China 3.Fuzhou Univ, Sch Econ & Management, Fuzhou, Peoples R China 4.Fuzhou Univ, Key Lab Spatial Data Min & Informat Sharing, Minist Educ, Fuzhou, Peoples R China 5.Fuzhou Univ, Acad Digital China Fujian, Fuzhou, Peoples R China |
| 推荐引用方式 GB/T 7714 | Fan, Kunkun,Li, Daichao,Wu, Haidong,et al. Extracting and evaluating typical characteristics of rural revitalization using web text mining[J]. INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,2023:25. |
| APA | Fan, Kunkun,Li, Daichao,Wu, Haidong,Wang, Yingjie,Yu, Hu,&Zeng, Zhan.(2023).Extracting and evaluating typical characteristics of rural revitalization using web text mining.INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE,25. |
| MLA | Fan, Kunkun,et al."Extracting and evaluating typical characteristics of rural revitalization using web text mining".INTERNATIONAL JOURNAL OF GEOGRAPHICAL INFORMATION SCIENCE (2023):25. |
入库方式： OAI收割
来源：地理科学与资源研究所
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