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文本挖掘技术在电力工单数据分析中的应用

邹云峰 何维民 赵洪莹 程雅梦 杨红

现代电子技术2016,Vol.39Issue(17):149-152,4.
现代电子技术2016,Vol.39Issue(17):149-152,4.DOI:10.16652/j.issn.1004-373x.2016.17.037

文本挖掘技术在电力工单数据分析中的应用

Application of text mining technology in electric power work order data analysis

邹云峰 1何维民 1赵洪莹 1程雅梦 1杨红2

作者信息

  • 1. 江苏省电力公司 电力科学研究院,江苏 南京 210019
  • 2. 上海希尔企业管理咨询股份有限公司,四川 成都 610094
  • 折叠

摘要

Abstract

The text mining technology provides the method and technical support for text analysis. On the basis of the text classification technology of text mining,the construction methods and processes of text preprocessing and text classification model are introduced briefly. Taking the hot issues reflected by power supply service center in power supply service processing as an exam⁃ple,the text automatic classification model of 95598 work orders was established. The rapidly and accurately automatic classifica⁃tion of 95598 work orders was realized with verification. The model can accurately mine the hidden important information in real time,and provide the foundation and data basis to analyze the influence of power supply service on customers′electricity demand.

关键词

95598工单/文本挖掘/文本分类/自动分类/用电诉求

Key words

95598 work order/text mining/text classification/automatic classification/electricity demand

分类

信息技术与安全科学

引用本文复制引用

邹云峰,何维民,赵洪莹,程雅梦,杨红..文本挖掘技术在电力工单数据分析中的应用[J].现代电子技术,2016,39(17):149-152,4.

基金项目

国家电网公司科技项目 ()

现代电子技术

OA北大核心CSTPCD

1004-373X

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