摘要
为了让垃圾回收机变得更加智能,对用户提出的生活垃圾归属问题给予快速准确的回答,提出了构建垃圾分类自动问答系统方法。利用垃圾分类问答语料库,基于文本分类,使用Word2Vec词向量和CNN卷积神经网络训练出自动问答模型。同时与传统机器学习方法进行了对比分析。
In order to make the garbage collector more intelligent and give a quick and accurate answer to the user’s question of household garbage ownership,this paper proposes a method to build an automatic garbage classification question answering system.Based on text classification,an automatic question answering model is trained by using Word2Vec word vector and CNN convolution neural network.At the same time,it is compared with the traditional machine learning method.
作者
阳国华
姜川
YANG GuoHua;JIANG Chuan(Shanghai Mutual-Soft Information Technology Co.,Ltd,Shanghai 200136,China;Department of Computer Science,Shanghai University of engineering and technology,Shanghai 201620,China)
出处
《集成电路应用》
2020年第7期54-57,共4页
Application of IC
基金
上海市中小企业科技创新课题项目。
关键词
智能垃圾回收机
自动问答系统
文本分类
卷积神经网络
机器学习
intelligent garbage collector
automatic question answering system
text classification
convolutional neural network
machine learning
