A context-awareness cluster analysis of legal texts based on quantum mechanism
Lina Zhang, Rui Wang, Yinglu Chen, Ziyi Zuo, Zhengying Cai
Based on the key points of quantum mechanics, the syntax, transitional semantics and open-mutual simulation of a context-awareness cluster analysis (CACA) are described in detail. Thus it gradually describes how the legal text analyzes the contextual awareness of different cases according to different grammars. The symbolic operation semantics of CACA is proposed, which mainly describes the process of manipulating quantum under the condition that a specific quantum state is required. Therefore, a symbolic double simulation between quantum processes is proposed, and then quantum clustering analysis of legal texts is carried out. Meanwhile, a symbolic double simulation algorithm for quantum clustering analysis of context awareness in legal texts is proposed. This algorithm takes into account the complexity of symbols, variables and time in context-aware clustering analysis of legal texts to ensure the accuracy and correctness of simulation analysis. Finally, the correctness of symbolic mutual simulation in quantum clustering analysis of context awareness in legal texts is further verified.