BERT-based semantic analysis and fuzzy language parsing: interpreting the prophecies and historical event associations in the 40th Xiang of Tui Bei Tu

Based on the model of BERT, prophecies and homilies in the 40th Xiang of the Tui Bei Tu are analyzed semantically in this study for a possible connection in understanding historical events during the Qing Dynasty. It integrates natural language processing techniques into the research methodology, together with fuzzy parsing of language. Further, it gives ways of applying deep learning models for the recognition of metaphors and polysemous phrases in text. It also carries out time-series analysis based on a historical event dataset. Results from the study indicate that metaphors in prophetic phrases are closely related to historical events; just like the founding of the Qing Dynasty and the Ch'ing reform by Kangxi. Through sentiment analysis, it also presents the relation of sentiment fluctuations with major historical events. The conclusion drawn from the study mentions that the BERT model is very effective in parsing complex languages in ancient prophetic texts and provides a possibility of foretelling future social upheavals.