灾害学2024，Vol.39Issue(2)：208-211,234,5.DOI:10.3969/j.issn.1000-811X.2024.02.030
多词共现分析方法在暴雨-地质灾害应急任务研究中的应用
Application of Multi-word Co-occurrence Analysis Method in Emergency Tasks of Rainstorm-geological Disasters
摘要
Abstract
To quickly formulate rescue action plans,a method of extracting emergency tasks from historical disaster cases using multi-word co-occurrence analysis is proposed.Firstly,the K-means clustering algorithm is used to cluster the preprocessed text and summarize the emergency task set.Then、the Apriori algorithm of asso-ciation rule mining is used to extract frequent itemsets from the case text as co-occurrence word sets、and analyze the relationship between co-occurrence word sets and emergency tasks is analyzed.Finally,the Gephi software is used to visualize the co-occurrence word network,and further analyze the correlation between the elements in the emergency tasks.Taking the geological disaster accident caused by rainstorm as an example,the method is experi-mentally verified.The results show that this method can effectively extract the emergency tasks from the text of rain-storm-geological disaster accident,and through network visualization analysis,it is found that in the rescue process,the emergency tasks are a coordinated system that work together,and coordinating various emergency tasks can shorten the emergency response time,and provide reference for formulating or improving rescue action plans.关键词
暴雨-地质灾害/应急任务/文本挖掘/多词共现/关联规则挖掘/K-means聚类算法Key words
rainstorm-geological disaster/emergency plan/text mining/amulti-word co-occurrence/ssociation rules mining/K-means clustering algorithm分类
资源环境引用本文复制引用
杨炼卿,许铭,马成龙,戴彩岩,赵红,龙昭岳..多词共现分析方法在暴雨-地质灾害应急任务研究中的应用[J].灾害学,2024,39(2):208-211,234,5.基金项目
贵州省科技计划项目"基于暴雨-崩滑-泥石流灾害链情景构建的救援推演关键技术研究与示范"(黔科合支撑[2021]一般513) （黔科合支撑[2021]一般513）
