Topic Mining and Evolution Analysis Based on DTM Model and Co-word Analysis——Take Intelligent Logistics Research as an Example
With the continuous development of newly-developing technologies such as the Internet of Things,big data,cloud computing,5G and artificial intelligence,China's logistics industry is gradually convert from traditional logistics to"intelligent logistics".In order to explore the development and evolution trend of research hotspots and research topics in the field of domestic intelligent logistics,the literature related to the research of smart logistics in China from 2010 to 2023 is selected and divided into four time stages,and combined with DTM dynamic topic model and co-word analysis method,the topic mining,hot topic recognition and theme evolution trend analysis are carried out.The research results show that the training of logistics professionals has been the focus of research in the field of domestic intelligent logistics since 2018,and modern newly-developing technologies such as the Internet of Things,big data,cloud computing,and artificial intelligence have been the focus of research in the field of domestic intelligent logistics since their advent.It can be seen that strengthening talent training and tackling modern emerging technologies are the key to the transformation and upgrading of China's logistics industry in the future.
NETL
NSTL
万方数据
