计算机与数字工程2019，Vol.47Issue(5)：1145-1150,6.DOI:10.3969/j.issn.1672-9722.2019.05.026
基于混合神经网络的电力短文本分类方法研究
Short Text Classification of Electric Power Based on Hybrid Neural Network
摘要
Abstract
With the advent of mobile Internet era,how to maintain a good user group and improve user satisfaction have be?come the focus of attention in various fields. Customer complaints are direct feedback to users'opinions. A large number of user com?plaints data can be obtained through multiple channels,and a lot of useful information can be obtained from these data. At present, user complaints often rely on manual review,and lack of systematic and automated complaints analysis tools. Starting from the short text of power users'complaints,this paper studies the automatic classification of users'complaints,and extracts useful complaints in?formation by combining the complaints of users and their attributes. These studies will ultimately help improve the comprehensive service level of the power grid.关键词
短文本分类/投诉文本分类/混合神经网络/深度学习/投诉分析模型Key words
short text categorization/classification of complaint texts/hybrid neural network/deep learning/complaint analysis model分类
信息技术与安全科学引用本文复制引用
曹湘,李誉坤,钱叶,闫晨阳,杨忠光..基于混合神经网络的电力短文本分类方法研究[J].计算机与数字工程,2019,47(5):1145-1150,6.基金项目
国家自然科学基金项目(编号:61672337)资助. （编号:61672337）
