Ancient Literature and Art Based on Big Data

Abstract

Ancient Chinese literature has a long history, and a large number of poems, songs and other literary works have been accumulated. The arrival of the era of big data brings a new way out for the study of ancient literature. This paper studies the ancient literature and art on the basis of big data. This paper uses big data clustering algorithm to analyze the relevance of ancient literature, and uses literature analysis and other research methods to carry out research. In the study, we summarize the 10 most influential ancient literary works from 2012 to 2019, and analyze the artistic characteristics of ancient literature and the ranking of ancient literary works. In order to better study the relevance of ancient literature, we also summarize and analyze the number of artists of painting, calligraphy and literature in different periods of ancient Chinese literature. From the pre Qin period to the Ming and Qing Dynasties, there were 808 writers, 108 calligraphers and 222 painters. From this, we can see that Chinese ancient literature originated in the pre Qin period, developed in the Wei, Jin, southern and Northern Dynasties, peaked in the Sui and Tang Dynasties, and finally flattened in the Ming and Qing Dynasties.