基于语义网络分析的乡镇企业趋势分析研究

Jin-Min Lee, Jong-Hwa Lee
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引用次数: 0

摘要

本研究旨在收集2012年至2021年国内乡村公司的相关网络新闻,通过大数据分析找出乡村公司的发展趋势,并提出未来乡村公司的振兴之路。在分析中,识别了乡村公司的基本概念和现状,通过对文本挖掘技术的理论思考,提高了对分析技术的理解,并收集了2012年至2021年与乡村公司相关的网络新闻文章。因此,社区、创业、可持续、竞争、工作、共享等词汇出现频率较高,而本地企业、创业支持、经济社区、低收入阶层等词汇被提取出来。村公司是内务部和安全部的自力更生的地方社区项目,正在实施各种支持村公司可持续性的政策,并从2010年开始全面实施,但“可持续性”仍然是一个问题。村公司是由当地居民建立和经营的,振兴村公司需要提高当地居民对村庄社区的认识,加强组织成员经营村企业的能力。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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.
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