Abstract
With the arrival of big data era, its research methods, ideas, technology models and so on are constantly changing our learning, life and work model. Big data has made all walks of life enter a new stage of transformation. Most scholars at home and abroad believe that the technical essence of big data can be excavated through phenomena, which can be used as an effective means to eliminate disadvantages. However, it is widely known that, as a specialized subject to study human creative activities, laws and aesthetic manifestations, art research is influenced by the big data era, and a series of changes are taking place in the links of data extraction, research process and analysis of research results. Through the research, this paper combs out the thinking turn, method turn and art history view turn of art research under the background of big data, and puts forward the improvement strategy of art research, thus providing the direction for the development of art.
Highlights
The development of science and technology brings opportunities to various industries, and makes them face more challenges
Art research is based on the collection of characters and images, through classification, screening, discrimination, textual research and a series of processing, so that the art research work can be carried out smoothly, is the main work form of art research at the present stage
Under the influence of big data, Internet, artificial intelligence and so on, on the one hand, the progress of science and technology makes art research save a lot of manpower and material resources, save time and reduce cost, on the other hand, it makes art research face great challenge and pressure[1]
Summary
The development of science and technology brings opportunities to various industries, and makes them face more challenges. Under the influence of big data, Internet, artificial intelligence and so on, on the one hand, the progress of science and technology makes art research save a lot of manpower and material resources, save time and reduce cost, on the other hand, it makes art research face great challenge and pressure[1]
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