Research on the current status and trend of the application of machine learning in the field of literature and museums- Based on CiteSpace

Abstract

With the development of the world economy and the rapid arrival of the digital era, machine learning technology continues to develop and is widely used in various fields, including the field of literature and museums. The article analyses and researches the relevant literature through citespace visualization software with machine learning research in the field of literature and museums as the main hotspot. It is found that in recent years, the attention to machine learning in the field of literature and museums has shown a significant growth trend, and the machine learning technology is concentrated in the conservation of cultural relics, museum management, cultural heritage protection, heritage identification, etc., which realises the automation, intelligence and personalization of the field of literature and museums and greatly improves the efficiency of work. Finally, this study summarises the current trend of machine learning research in the field of cultural and museums, and puts forward the outlook for the future development direction. By deeply analysing the current situation of machine learning research in the field of literature and exposition, it provides useful references and insights for future researchers, and helps to promote the in-depth development of the intersection between the field of literature and exposition and machine learning, and promotes the innovation and cooperation of related research.