标题:Multifaceted sentiment analysis of public comments on the Dianping.com    (Open Access)
作者:Sui, Liying ;Shang, Lu ;Guo, Xiaochao ;Zhang, Dexue
通讯作者:Zhang, Dexue
作者机构:[Sui, Liying ;Shang, Lu ;Guo, Xiaochao ;Zhang, Dexue ] College of Electronic Information Engineering, Shandong University of Science and Technology, Q 更多
会议名称:2020 4th International Workshop on Advanced Algorithms and Control Engineering, IWAACE 2020
会议日期:February 21, 2020 - February 23, 2020
来源:Journal of Physics: Conference Series
出版年:2020
卷:1550
期:3
DOI:10.1088/1742-6596/1550/3/032052
摘要:Emotional analysis of text has always been a hot topic in natural language research. In view of the long-term dependence of recurrent neural networks and the fact that most models do not consider the correlation between input and output, this paper proposes a bidirectional LSTM model based on attention mechanism to judge the comment emotion. This method vectorizes the semantics of comments into the LSTM model, improves the relevance of input and output through the attention mechanism, fuses the aspect category and aspect Term, and outputs the results through the classifier. The experimental results of Dianping.com review data set provided by AI Challenger competition show that the improved method adopted in this paper is better than the common deep learning method.
© Published under licence by IOP Publishing Ltd.
收录类别:EI
资源类型:会议论文
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