In today’s era of knowledge explosion and data increasing in massive amounts, how can we position heroic figures that conform to the public’s aesthetic standards, ideology, and political will in massive data and make heroic figures become models that influence people’s behavior patterns? This cannot be achieved without the support of a hero database. There are main content and main research methods of the thesis research: (1) The study explores factors such as the globalization context, social structure, communication methods, government-civilian relations, modern rule of law, and literary production background that contribute to the emergence of the Chinese perception of heroes in the new era. These factors are digitized and quantified through a cultural corpus and computable expressions; (2) The temporal and spatial sequences of heroes are computed and expressed using computers; (3) Using spatial analysis algorithms, the hero figures and their views are expressed in computational forms (such as functions). The analysis of the temporal and spatial sequences of heroes is based on observed data through curve fitting and parameter estimation (such as least squares method) to build models that describe the temporal and spatial contexts of the heroes. The C4.5 algorithm and SVM algorithm are used to mine raw data and filter out irrelevant information. Through the creation of a database of the Chinese hero view based on modern cultural computing, the study shows that the theoretical construction of the Chinese hero perception in the new era requires a multidimensional and integrated research perspective that connects views and communication, the world and the nation, the official and the civil, as well as literature and philosophy. On this basis, it derives the rationale, communication mechanisms, construction dimensions, and directional goals of the perception of heroes.