The Construction of Information Flow Delivery and Reader Interpretation Mechanism of English and American Literary Works Based on Semantic Network Analysis

Abstract

This paper demonstrates the information flow transmission process of English and American literary works through two dimensions: lexical and discourse, and explores the discourse information reception from the reader's perspective. Taking the classic Anglo-American literature A Tale of Two Cities as the research object, relying on the lexical analysis technology to count the high-frequency words in the work, and the semantic network technology to conduct co-word analysis. Graph Attention Network GAT is utilized for relevance retrieval to construct a mechanism for readers' interpretation of English and American literature. The results show that Alexander Manette has the highest frequency of occurrence, reaching 1,901 times. Its pointwise centrality and middle centrality were the largest, 1476.000 and 503.062, respectively, and its proximity centrality was the smallest, 48.000. The highest degree of connection with “Alexander Manette” is “Charles Darnay”, with a total of 157 occurrences. Analyzing the information transfer characteristics of the discourse from the perspective of author's information processing and introducing semantic networks for reader interpretation analysis provide new ideas and methods for the dissemination of English and American literature.