【摘要】 随着互联网及其相关技术的高速发展,网络数据呈现出井喷式的增长,其中主要以文本的形式大量存在,数据在这种增长趋势下,文本分类已经成为越来越重要的研究课题.如今,采用深度学习技术对文本进行表示受到研究者的极大关注.如采用卷积神经网络对文档进行表示和分类等自然语言处理.本文主要对基于卷积神经网络的文本分类方法进行了研究,介绍了几个具有代表性的卷积神经网络模型结构.最后提出了对基于该方法文本分类的展望.更多还原

【Abstract】 With the rapid development of the Internet and related technologies,network data has shown a spurt growth trend,which mainly exists in the form of text. Under this growth trend,text classification has become an increasingly important research topic.The use of deep learning technology to express the text has received great attention. For example,natural language processing such as convolutional neural network is used to represent and classify documents. The text classification method based on convolutional neural network is investigated. Several representative convolutional neural network model structures are introduced. Finally,the prospect of text classification based on this method is proposed.更多还原