计算机与现代化Issue(2)：96-100,5.DOI:10.3969/j.issn.1006-2475.2018.02.020
基于Attention-based C-GRU神经网络的文本分类
An Attention-based C-GRU Neural Network for Text Classification
摘要
Abstract
Text classification is the classical research direction in NLP and plays an important role in information processing.At present,deep learning network has achieved the remarkable performance in image recognition,machine translation and other fields and it also has been proved to be capable of learning higher-level sentences and document representation in NLP tasks.In this paper,based on GRU model and the convolutional layer in CNN,we propose a novel hybrid text classification model called Attention-based C-GRU.Moreover,we introduce Attention model in our model,which effectively highlights the role of key words and optimizing the extraction of features.We leverage the model to learn the meaning of text and evaluate it on topic classification,question classification and sentiment classification tasks.The experiment demonstrates the effectiveness of our approach in comparison with baseline models and state-of-art methods.关键词
文本分类/深度学习/Attention机制Key words
text classification/deep learning/Attention model分类
信息技术与安全科学引用本文复制引用
杨东,王移芝..基于Attention-based C-GRU神经网络的文本分类[J].计算机与现代化,2018,(2):96-100,5.基金项目
国家自然科学基金“面上”项目(K13A300050) （K13A300050）
