Research on Disaster Information Extraction Based on Post-Earthquake Public Sentiment
After a major earthquake,a large amount of information regarding earthquake disasters usually emerges and spreads rapid-ly on the internet.To obtain earthquake disaster information quickly and accurately,this study carries out research on extracting dis-aster information based on post-earthquake public sentiment.First,a disaster information mining model is constructed,and a disas-ter keyword list is established.By calculating word vector similarity,earthquake disaster information and related information are quickly extracted.At the same time,the"5.5 magnitude earthquake in Yuanping,Dezhou,Shandong"case is used to verify the ef-fectiveness,feasibility,and practicality of the constructed model in extracting earthquake disaster information.The results show that this research can provide certain reference data and a decision-making basis for rapid response and disposal of disaster situations after an earthquake.
earthquake disaster informationeost-earthquake public sentimentWeb crawlertext mininginformation extraction
万方数据
维普
