摘要
针对传统的农村扶贫开发研究缺乏利用机器学习和人工智能的方法做分析,无法获取文献主题关联及深层次的语义知识的背景下,以中国知网学术期刊网络出版总库中,关于农村扶贫开发主题的相关文献为研究主体,运用文献计量、知识图谱、LDA模型主题挖掘等技术,在结果可视化的基础上,系统分析农村扶贫开发研究领域的研究现状与热点,并对这一领域现有文献进行梳理和归纳,总结我国农村扶贫的研究现状与发展趋势。
Study of traditional rural poverty alleviation and development lack of the method of using machine learning and artificial intelligence for analysis,can't get the theme context and under the background of deep semantic knowledge,to know China academic journal network publishing in the pool,on rural poverty alleviation and development subject literature as the research subject,using literature metrological knowledge map the LDA model themes such as mining technology,on the basis of the results visualization,systematic analysis of the rural poverty alleviation and development research in the field of research present situation and the hot spots,and in this area was summarized and combing the existing literature,this paper summarizes the current research status of China's rural poverty alleviation and development trend.
作者
阚乾超
KAN Qianchao(School of Information,Guizhou University of Finance and Economics,Guiyang 550025)
出处
《现代计算机》
2021年第19期51-57,共7页
Modern Computer
关键词
农村扶贫开发
LDA
文献计量
主题挖掘
Rural Poverty Alleviation and Development
LDA
Bibliometric
Topic Mining
