The Promotion Model of Network Language and Chinese Language and Literature Development Based on Quasi-Linear Regression Analysis

Cyber language is a kind of chatting language that was created to improve the efficiency of chatting at the beginning of its creation. Therefore, the creation of some words does not conform to the grammatical rules of Chinese language and literature. Therefore, this paper puts forward the promotion model of cyber language and Chinese language literature development based on quasi-linear regression analysis. A hierarchical structure analysis model is established to analyze the quantitative characteristics of the hierarchical constraint indicators, and a quantitative table of the status distribution of the evaluation constraint indicators promoted by the development of cyber language and Chinese language and literature is obtained. The quasi-linear regression analysis structure is used to build a clustering model to promote evaluation, and the feature clustering analysis is realized through quantitative index feature analysis. In the quasi-linear regression analysis model, the influence index parameters are configured, and the fuzzy influence characteristic parameters are combined to cluster the parameter configuration results, and the classification prediction and index analysis models are constructed. According to the hierarchical distribution density and grid clustering, the development evaluation and influence model construction of cyber language and Chinese language literature are realized. The results of empirical analysis show that this method has strong quantitative feature analysis ability, accurate and reliable evaluation results, and improves the reliability and confidence level of the evaluation and influence model construction of cyber language and Chinese language literature development.