Exploring the Communication Path of Ancient Literary Works Based on Corpus Analysis in the Perspective of Digital Humanities

How to realize the promotion and inheritance of ancient classic literary works in the digital era is an urgent problem to be solved. This paper innovates the way of interpretation of ancient literary works, applies text classification technology to the text of classic works and new media communication paths such as pop-ups, and analyzes the writing techniques and meanings of language and action of the works from a unique perspective. Based on the TF-IDF word frequency mining technology, the concepts of information entropy and relative entropy are introduced to improve it in order to solve the problem of unreasonable word weights, and the corpus sentiment dictionary is established to obtain the sentiment scores of ancient literary works. The improved TF-IDF algorithm is applied to the word frequency analysis of the classic work “The Story of the West Wing” and the sentiment visualization of the pop-up screen of the famous novel “Romance of the Three Kingdoms” film and TV drama. The vocabulary word “no” has the highest number of occurrences in The Story of the Western Wing, reaching 172 times, throughout the entire work, and its distribution is relatively uniform and dense, expressing the characters’ attitude of resistance to oppressive injustice and the author’s profound writing skills. In the pop-ups of the first episode of Romance of the Three Kingdoms, the pop-up data of negative emotional tendency only accounted for about 16%, while no emotional tendency 46%, and positive emotional tendency accounted for 38%. The model in this paper can capture the audience’s emotional changes more accurately. Finally, it puts forward suggestions for optimizing the communication path of ancient literary works, such as guaranteeing high-quality content, strengthening mainstream channels, and improving the utilization rate of new media.