{"title":"基于语义网络分析的乡镇企业趋势分析研究","authors":"Jin-Min Lee, Jong-Hwa Lee","doi":"10.32956/kaoca.2022.20.3.21","DOIUrl":null,"url":null,"abstract":"This study aims to collect related online news from 2012 to 2021 of domestic village companies to identify the trends of village companies through big data analysis and propose ways to revitalize village companies in the future. \nFor the analysis, the basic concept and status of village companies were identified, the understanding of the analysis techniques was improved through theoretical consideration of text mining techniques, and online news articles related to village companies were collected from 2012 to 2021. \nAs a result, words such as community, start-up, sustainable, competitive, job, and sharing showed high frequency, and other words such as local enterprises, start-up support, economic community, and low-income class were extracted. \nVillage companies, self-reliant local community project of the Ministry of the Interior and Security, are implementing various support policies for the sustainability of village companies and have been fully implemented since 2010, but “sustainability” is still an issue. \nVillage companies are established and operated by local residents, and in order to revitalize village companies, efforts to raise local residents’ awareness of the village community and strengthen the capacity of members of the organization to operate village enterprises are necessary.","PeriodicalId":246190,"journal":{"name":"Korean Association Of Computers And Accounting","volume":"25 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2022-12-30","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Study on Village Enterprise Trend Analysis through Semantic Network Analysis\",\"authors\":\"Jin-Min Lee, Jong-Hwa Lee\",\"doi\":\"10.32956/kaoca.2022.20.3.21\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"This study aims to collect related online news from 2012 to 2021 of domestic village companies to identify the trends of village companies through big data analysis and propose ways to revitalize village companies in the future. \\nFor the analysis, the basic concept and status of village companies were identified, the understanding of the analysis techniques was improved through theoretical consideration of text mining techniques, and online news articles related to village companies were collected from 2012 to 2021. \\nAs a result, words such as community, start-up, sustainable, competitive, job, and sharing showed high frequency, and other words such as local enterprises, start-up support, economic community, and low-income class were extracted. \\nVillage companies, self-reliant local community project of the Ministry of the Interior and Security, are implementing various support policies for the sustainability of village companies and have been fully implemented since 2010, but “sustainability” is still an issue. \\nVillage companies are established and operated by local residents, and in order to revitalize village companies, efforts to raise local residents’ awareness of the village community and strengthen the capacity of members of the organization to operate village enterprises are necessary.\",\"PeriodicalId\":246190,\"journal\":{\"name\":\"Korean Association Of Computers And Accounting\",\"volume\":\"25 1\",\"pages\":\"0\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2022-12-30\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Korean Association Of Computers And Accounting\",\"FirstCategoryId\":\"1085\",\"ListUrlMain\":\"https://doi.org/10.32956/kaoca.2022.20.3.21\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Korean Association Of Computers And Accounting","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.32956/kaoca.2022.20.3.21","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
A Study on Village Enterprise Trend Analysis through Semantic Network Analysis
This study aims to collect related online news from 2012 to 2021 of domestic village companies to identify the trends of village companies through big data analysis and propose ways to revitalize village companies in the future.
For the analysis, the basic concept and status of village companies were identified, the understanding of the analysis techniques was improved through theoretical consideration of text mining techniques, and online news articles related to village companies were collected from 2012 to 2021.
As a result, words such as community, start-up, sustainable, competitive, job, and sharing showed high frequency, and other words such as local enterprises, start-up support, economic community, and low-income class were extracted.
Village companies, self-reliant local community project of the Ministry of the Interior and Security, are implementing various support policies for the sustainability of village companies and have been fully implemented since 2010, but “sustainability” is still an issue.
Village companies are established and operated by local residents, and in order to revitalize village companies, efforts to raise local residents’ awareness of the village community and strengthen the capacity of members of the organization to operate village enterprises are necessary.