Extraction and analysis of earthquake events information based on web text

This study explores the automated spatiotemporal and attribute information extraction of earthquake events from web news reports and online official reports in China from 2015 to 2017. Combined with a web crawler, natural language processing, and geographic information science, a set of rules is created to automatically extract spatiotemporal and attribute information for earthquake events from web text, and geocoding is applied to map the earthquake events. The spatial and temporal distribution characteristics of earthquake events extracted from the web texts are then analyzed. This study compares the differences between web news reports and online official reports in terms of the quantity and spatiotemporal distribution of the earthquake events.