基于文本挖掘的煤矿事故案例分析与可视化研究
Analysis and Visualization of Coal Mine Accident Cases Based on Text Mining
赵中昊 1冯彬浩 1曾成 1杨梦1
作者信息
- 1. 中国矿业大学(北京) 机电与信息工程学院,北京 100083
- 折叠
摘要
为解决目前大部分的煤矿事故案例以非结构化文本的形式存储,不利于事故案例中关键信息的组织、共享和再利用的问题,文章基于发布在互联网上的大量煤矿事故案例,将分片思想引入文本挖掘技术,实现事故案例的关键信息抽取,结合框架表示法提出了一种层次化的数据存储结构,实现对煤矿事故案例多层次多类型数据的处理、存储和挖掘,并对事故发生的空间、时间以及原因等数据进行分析和可视化展示.
Abstract
To solve the problem that most of the current coal mine accident cases are stored in the form of unstructured text,which is not conducive to the organization,sharing,and reuse of key information in the accident cases,this paper introduces the idea of slicing into text mining technology based on a large number of coal mine accident cases posted on the Internet to realize the extraction of key information from accident cases and proposes a hierarchical data storage structure combined with frame representation to realize the processing,storage,and mining of multi-level and multi-type data of coal mine accident cases,as well as the analysis and visualization of data such as the space,time and causes of accidents.
关键词
关键信息抽取/框架表示法/可视化/文本挖掘Key words
key information extraction/frame representation/visualization/text mining引用本文复制引用
出版年
2024
NETL
NSTL
万方数据