《Hotspot Event Analysis tool》--developed based on the LLM-enhanced approach

LLM-enhanced approach:
In event extraction, traditional techniques rely on rule templates and CRF models, whereas the LLM-enhanced approach employs prompt engineering and fine-tuning for intelligent semantic parsing.
For contextual analysis, static knowledge graphs are upgraded to dynamic Chain-of-Thought (CoT) reasoning, enabling causal evolution tracking and real-time decision-making.

Our company's Hotspot Event Analysis tool developed based on the LLM-enhanced approach has effectively met user needs in practical applications.

The tool extensively collects information from domestic and foreign think tanks, mainstream media, internet public sentiment, and other sources to conduct event discovery and contextual analysis, gaining real-time insights into trending events. Additionally, based on specified thematic areas (such as macroeconomic forecasting, strategies of world-class enterprises, innovation and competitiveness, etc.), it performs in-depth event mining, correlation analysis, and dynamic monitoring, automatically generating analytical reports on events.