An Analysis of the Interaction between Ancient Literature Informatization Project and Classical Literature Research Based on Intelligent Computing

Abstract

Objective. This research preliminarily establishes a public information platform in the field of ancient literature informatization engineering aiming to provide an effective platform and foundation for the analysis of the interaction between ancient literature informatization engineering and classical literature research. Methods. This research collects ancient documents and establishes an ancient document information engineering retrieval system based on intelligent computer. Through the computer, various data and keywords can be extracted and preprocessed, and the required word frequency can be obtained through the sorting index. Check and use coordinates to label node locations, which can automatically generate data tables and files arranged by year. The method based on intelligent computing is used to analyze the development context of ancient Chinese literature, literary thoughts of different schools, and the quantity of classical literary works of different ages. Results. The ancient literature informatization project occupies an important position in the complex ancient literature, and the application frequency is high, which promotes the development and progress of classical literature. Applying the method based on intelligent computing for ancient literature retrieval, the retrieval speed is significantly improved, and basic and comprehensive retrieval can be realized. Conclusion. The ancient literature informatization project based on intelligent computing and classical literature research can build a good relationship through interaction, and the work in this area has achieved the initial results. In the process of applying the ancient literature information engineering retrieval system, there will still be a problem that the management level of a large number of ancient literature is not high. However, it is necessary to continue to explore in more unknown areas and expand the application scope of intelligent computers.