Differentiation Analysis and Classification of Chinese Language and Literature Features Based on Text Big Data
Publicado en línea: 27 feb 2025
Recibido: 03 oct 2024
Aceptado: 30 ene 2025
DOI: https://doi.org/10.2478/amns-2025-0105
Palabras clave
© 2025 Xuerui Zhang, published by Sciendo
This work is licensed under the Creative Commons Attribution 4.0 International License.
With the advent of the era of big data, in the information age, we are also dissecting and analyzing the Chinese language and culture that we are familiar with. Chinese language and culture can not only reflect the details of our Chinese culture, but also have its special characteristics and differences. The importance of text analysis in the era of big data is very important. As information technology continues to enter our life world, it also plays an important role in culture. The differences of Chinese language and cultural characteristics emerge in endlessly, which makes it difficult for us to absorb and understand culture. In order to solve this problem, we analyze the differences and applications of Chinese language characteristics through the text data in the era of big data. The analysis results are as follows: (1) By analyzing the accuracy characteristics of Chinese language with text big data, the accuracy of time description, space description and thing description are analyzed to determine the analysis of text big data on Chinese language characteristics. (2) It also analyzes the hierarchy and compatibility of Chinese language features through text big data. It analyzes the progressive, circular and parallel features in terms of hierarchy, and makes other expressions of scientific vocabulary in terms of compatibility to improve the understanding of Chinese language features. (3) In the era of big data, the application of Chinese language is analyzed through three different technical methods, and the importance of Chinese language in promoting cultural spirit, teaching application, adapting to social environment and measuring development level is analyzed, which reflects the importance of Chinese language in the era of big data.