水库安全管理文档质量评估系统设计与实现  

Design and Implementation of Quality Evaluation System for Reservoir Safety Management Documents

作　　者：葛从兵[1] 严吉皞[1] 陈剑[1] GE Cong-bing;YAN Ji-hao;CHEN Jian(Nanjing Hydraulic Research Institute,Nanjing 210029,China)

机构地区：[1]南京水利科学研究院,江苏南京210029

出　　处：《软件导刊》2022年第5期130-134,共5页Software Guide

基　　金：国家重点研发计划项目(2018YFC0407106);南京水利科学研究院专项基金项目(Y721003,Y721005)。

摘　　要：为加强水库安全管理监督工作,提高水库安全管理文档评估效率,研究中文分词技术以及关键词学习方法与文档质量评估方法,提出一种基于词频的水库安全管理文档质量评估方法。选择结巴分词工具,采用Django框架开发水库安全管理文档质量评估系统。实验结果表明,该系统对水库安全管理文档的质量评估结果准确,与实际情况基本一致。该系统能够通过学习全部文档获得评估标准,计算文档质量指数并给出文档质量水平,可广泛应用于水库安全管理文档质量评估工作中,具有一定的实用价值。In order to strengthen the supervision of reservoir safety management and improve the efficiency of the evaluation of reservoir safety management documents,by studying Chinese word segmentation technology,keyword learning method and document quality evaluation method,and proposes a document quality evaluation method based on term frequency for reservoir safety management.Choose jieba term segmentation tool and uses Django framework to develop quality evaluation system for reservoir safety management documents.Experimental results show that the system is accurate in evaluating the quality of reservoir safety management documents,which is basically consistent with the actual situation.The system can obtain the evaluation standard by learning all the similar documents and calculate the document quality index.It can be widely used in quality evaluation of reservoir safety management documents and has certain practical value.

关 键 词：水库安全管理 文档质量评估 词频 结巴分词 DJANGO 

分 类 号：TP319[自动化与计算机技术—计算机软件与理论]