基于深度学习的人工智能文本处理系统设计

Design of Artificial Intelligence Text Processing System Based on Deep Learning

阐述利用分类器对未知文本分类,采用神经网络模型学习文本特征映射,以卷积神经网络深度学习模型,融合多个深度学习模型,从而提升文本分类准确率,探讨卷积神经网络模型分类准确率,设计基于深度学习的法律文本处理系统。

This paper describes the use of classifiers to classify unknown text,uses neural network model to learn text feature mapping,uses convolution neural network deep learning model to fuse multiple deep learning models,so as to improve the accuracy of text classification,discusses the classification accuracy of convolution neural network model,and designs a legal text processing system based on deep learning.