| 结合RNN和CNN层次化网络的中文文本情感分类 |
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| 引用本文： | 罗帆,王厚峰.结合RNN和CNN层次化网络的中文文本情感分类[J].北京大学学报(自然科学版),2018,54(3):459-465. |
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| 作者姓名： | 罗帆 王厚峰 |
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| 作者单位： | 北京大学计算语言学研究所,北京,100871;北京大学计算语言学研究所,北京,100871 |
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| 基金项目： | 国家社会科学基金(12&ZD227)，863计划(2015AA015402) |
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| 摘 要： | 中文情感分类; 深度学习; 卷积神经网络; 循环神经网络
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| 关 键 词： | 中文情感分类 深度学习 卷积神经网络 循环神经网络 |
| 收稿时间： | 2017-07-13 |
Chinese Text Sentiment Classification by H-RNN-CNN |
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| LUO Fan,WANG Houfeng.Chinese Text Sentiment Classification by H-RNN-CNN[J].Acta Scientiarum Naturalium Universitatis Pekinensis,2018,54(3):459-465. |
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| Authors: | LUO Fan WANG Houfeng |
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| Institution: | Institute of Computational Linguistics, Peking University, Beijing 100871 |
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| Abstract: | The authors present a hierarchical neural network H-RNN-CNN as a general model to represent text in sentiment analysis. Firstly, since information may lose in long text, the authors divide the text by sentence and use them as middle layer. Secondly, recurrent neural network is used to process sequence and relationship across sentences is captured by convolutional neural network. Moreover, the effectiveness of the variants of recurrent neural network and the pre-trained embedding are discussed. Experiment results demonstrate that the approach works well on several datasets. |
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| Keywords: | sentiment classification deep learning convolutional neural network recurrent neural network |
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