This invention provides an intelligent structured
processing and classification analysis
system for grassroots governance events, including: a
data access module configured to connect to grid worker mobile reporting, government service
hotline feedback, and monitoring and early warning channels through a multi-source heterogeneous data
adaptation interface, collecting raw text data of grassroots governance events from multiple sources. This invention utilizes a core mechanism of collaborative
parsing using a large
language model and regular expressions, combining the semantic understanding capabilities of the large
language model for colloquial and fragmented text with the efficient and accurate characteristics of
regular expression matching, thus solving the problems of high
inference costs and large response delays associated with single large
language model solutions. Simultaneously, it introduces a dedicated dictionary for grassroots governance to automatically correct typos and complete non-standard expressions, mapping dialects, slang, and non-
standard time and location formats to standard field values, improving the completeness of structured conversion and data
standardization.