兵工自动化2025，Vol.44Issue(10)：26-30,5.DOI:10.7690/bgzdh.2025.10.006
基于数据挖掘的电力服务质量评估方法
Power Service Quality Evaluation Method Based on Data Mining
汤成佳 1谭驰 2刘亦驰1
作者信息
- 1. 贵州电网有限责任公司信息中心,贵阳 550003
- 2. 贵州电网有限责任公司市场营销部,贵阳 550002
- 折叠
摘要
Abstract
In order to solve the problems of too many data types and low evaluation accuracy in the current power service quality evaluation,a power service quality evaluation model based on data mining is proposed.Based on power service social media data,a power service sentiment dictionary generation method is proposed;based on information retrieval technology and deep learning technology in data mining,a customer attitude analysis model is proposed to measure customer satisfaction with power service quality.The experimental results show that the proposed model can comprehensively consider the text features and speech features,effectively improve the evaluation performance,and provide a reference for the quantitative analysis of power service quality.关键词
电力/大数据/数据挖掘/深度学习/服务质量评估/卷积神经网络/长短时记忆Key words
power/big data/data mining/deep learning/quality of service assessment/convolutional neural network/long-short-term memory分类
计算机与自动化引用本文复制引用
汤成佳,谭驰,刘亦驰..基于数据挖掘的电力服务质量评估方法[J].兵工自动化,2025,44(10):26-30,5.
