Topic Recognition And Feature Analysis About The Researches In The Field Of Intelligent Technology

The advancement of the information society brings about various technological innovations,and the industry enables many information technologies to enter the fast lane of development.From human society into the digital age to information age of today's era of intelligence,the state,enterprises have to the development of intelligent technology and advance to the policy,Made in China 2025,the 14 th Five-Year Plan policies made in China,many enterprises are also opened up a new intelligent technology investment and transformation,intelligent technology has stood in tide of The Times.In the field of intelligent technology,various technologies have entered intensive development and advanced each other.Combined with the advantages of machine learning,neural network and other algorithms,intelligent transformation has been realized in the manufacturing industry,urban governance,home furnishing,libraries and other people's living needs.Based on this understanding,the paper from the domestic for the fourth time since the industrial revolution in the research of intelligent technology in recent 20 years,and the use of state funds support literature,through the LDA model and knowledge map construction,from the perspective of macro,meso and micro intelligent technology structure based on the existing research results on the characteristics of space and time,Topic identification and hot topic analysis at the content level,as well as cross-topic feature analysis at the cross-domain level.Meanwhile,the evolution of the topic is analyzed by time slice,and the visualization tool Gephi is used to reveal the research topic and feature of the field in a more comprehensive way from a multi-dimensional perspective.In the research structure of the field,there are three development stages at the time level,namely,the germination stage(2000-2008),the development stage(2009-2015)and the boom stage(2016-2021).At the spatial level,the authors and institutions' co-authorships are characterized by regional agglomeration,domain diversity,low frequency of coauthorships relative to publication volume,and low willingness to co-authorships across regions and domains.Theme in content by LDA model to identify the application,technical support three aspects: a total of 24 research topics,and analyses the big data,artificial intelligence,Internet,chain blocks,cloud computing and data mining 6 hot topic,at the same time explore the stages of subject characteristics,analysis of the gradual,weakening and stability.In terms of crossover characteristics,the research achievements of library and information and computer software and application are selected,and the co-word analysis method is adopted to explore the crossover topics of the two disciplines,namely,16 topics of knowledge graph,smart city and ontology,etc.Combined with the analysis of scientific research literature of each discipline,it is concluded that there are common and unique research domains between the two disciplines.The summarization of the cross-topics in each stage shows the characteristics of frequent cross-disciplines and continuous integration of research fields,from which the evolution of the cross-topics is excavated.In order to provide feasible reference research for scholars in the field of intelligent technology and enrich the application scope of the corresponding methods,the subject characteristics of the field of intelligent technology are revealed,and the application framework of the corresponding methods is refined while exploring its development trend.