信息技术2024,Issue(1) :104-109,114.DOI:10.13274/j.cnki.hdzj.2024.01.016

电网OA系统非结构化文档内容自动化识别技术

Automatic identification technology of unstructured document content in power grid OA system

冯光璐 欧阳静 李然 倪凡 曾路
信息技术2024,Issue(1) :104-109,114.DOI:10.13274/j.cnki.hdzj.2024.01.016
✕

电网OA系统非结构化文档内容自动化识别技术

Automatic identification technology of unstructured document content in power grid OA system

冯光璐 1欧阳静 1李然 1倪凡 1曾路1
扫码查看

作者信息

  • 1. 贵州电网有限责任公司信息中心,贵阳 550000
  • 折叠

摘要

针对电网OA系统内存在大量的非结构化文档难以识别的问题,研究电网OA系统非结构化文档内容自动化识别技术.采用非直接转换方法,将非结构化数据先转换为采用XML文件承载的不完全结构化数据,利用SAX解析工具解析不完全结构化数据,采用Simhash算法对文本信息进行去重处理;采用TextRank算法提取文本内的关键词,根据关键词识别电网OA系统非结构化文档内容.测试结果显示,在海明距离与相似度阈值分别为10和70的条件下可获取较好的去重效果,关键词提取效果较好,具有推广价值.

Abstract

To solve the problem that there are a large number of unstructured documents in power grid OA system,which are difficult to identify,the automatic identification technology of unstructured document con-tent in power grid OA system is studied.The indirect conversion method is used to convert the unstructured data into the incomplete structured data carried by XML file,and the incomplete structured data is parsed by SAX parsing tool.In addition,the text information is de-duped by Simhash algorithm.The TextRank al-gorithm is used to extract the keywords in the text,and identify the unstructured document content of power grid OA system according to the keywords.The test results show that under the condition that the Hamming distance and similarity threshold are 10 and 70 respectively,good de-duplication effect can be obtained,and the keyword extraction effect is good,which has popularization value.

关键词

非结构化文档/非直接转换/自动化识别/关键词提取/去重算法

Key words

unstructured documents/indirect conversion/automatic identification/keywords extraction/de-duplication algorithm

引用本文复制引用

基金项目

南方电网公司一般科技项目(066700KK52180027)

出版年

2024
信息技术
黑龙江省信息技术学会 中国电子信息产业发展研究院 中国信息产业部电子信息中心

信息技术

CSTPCD
影响因子:0.413
ISSN:1009-2552
参考文献量14
段落导航相关论文