This invention discloses a method and
system for regional and national hotspot mining and briefing generation based on complex networks and large language models, belonging to the field of
natural language processing and public
opinion analysis technology. The method includes: collecting, cleaning, deduplicating, and sorting multilingual public opinion data; constructing a news
dissemination network based on temporal
semantic similarity and using
connected component algorithms to discover hotspot communities; performing
quality assessment and topic consistency optimization on the communities, and selecting representative texts using an improved
PageRank algorithm; and automatically generating structured briefings including event summaries, knowledge graphs, news
rewriting and commentary, and hotspot extensions by combining preset prompt templates with a generative large
language model. This invention can effectively capture the dynamic evolution of multilingual public opinion, improve the accuracy and completeness of hotspot
event mining, achieve full
automation from data collection to
report generation, and significantly improve the efficiency and depth of regional and national public
opinion analysis.