Research on Literary Style Based on Statistical Analysis of Computational Language

Abstract

This paper uses computational linguistic statistics to analyze the novels of three Shaanxi-born authors of the Mao Dun Literature Prize, Lu Yao, Chen Zhongshi, and Jia Pingwa, to discover the differences in writing styles between the different authors from the perspectives of paragraph, sentence length, and vocabulary, to extract theme words from the works using the LDA topic model, and to analyze and compare the themes of concern among the works. A series of important research results were obtained on the differences or similarities between different authors in writing habits, content selection and word usage.