Research on Classification,Evolution,and Application of Algorithm in Intelligence Analysis in the Digital Era
[Purpose/significance]In the era of digital intelligence,with the widespread application of algorithms in intelli-gence analysis,revealing the current status of algorithm usage in intelligence analysis not only helps scholars in the field of intelli-gence to grasp academic research hotspots,but also guides more researchers to better use algorithms to solve practical problems in the process of intelligence analysis.[Method/process]This paper focuses on the literature related to intelligence analysis algo-rithms in five core journals in the field of information science in the past decade,attempts to sort out the classification of algorithms applied to intelligence analysis in the era of data intelligence,and presents the characteristics of these algorithms from the perspec-tive of algorithm evolution and algorithm application.[Result/conclusion]From the perspective of evolution,papers on applied al-gorithms in the field of information science continue to rise in the past decade,and LDA is the most used algorithm in intelligence analysis.Since 2020,BERT algorithm has shown a prominent feature of new evolution.From the application point of view,the ap-plications of online public opinion and patent analysis under emergencies show a trend of continuous refinement and inheritance evo-lution;Applications such as libraries,library information,e-commerce,and logistics information are gradually declining,re-placed by digital humanities,smart libraries,and disruptive technologies.
万方数据
维普
