Implicit sentiment analysis based on graph attention neural network
暂无分享,去创建一个
Shanliang Yang | Linlin Xing | Yongming Li | Zheng Chang | Zheng Chang | L. Xing | Yongming Li | Shanliang Yang
[1] Bing Liu,et al. Sentiment Analysis and Opinion Mining , 2012, Synthesis Lectures on Human Language Technologies.
[2] Rada Mihalcea,et al. Coarse-Grained +/-Effect Word Sense Disambiguation for Implicit Sentiment Analysis , 2017, IEEE Transactions on Affective Computing.
[3] Linlin Hou,et al. Modeling Sentiment Dependencies with Graph Convolutional Networks for Aspect-level Sentiment Classification , 2020, Knowl. Based Syst..
[4] Zhiyuan Liu,et al. Graph Neural Networks: A Review of Methods and Applications , 2018, AI Open.
[5] Chien-Ching Chiu,et al. Application of Support Vector Machine (SVM) in the Sentiment Analysis of Twitter DataSet , 2020, Applied Sciences.
[6] Ji Wu,et al. Tensor Graph Convolutional Networks for Text Classification , 2020, AAAI.
[7] Hui Zhao,et al. Context-Specific Heterogeneous Graph Convolutional Network for Implicit Sentiment Analysis , 2020, IEEE Access.
[8] Asif Ekbal,et al. How Intense Are You? Predicting Intensities of Emotions and Sentiments using Stacked Ensemble [Application Notes] , 2020, IEEE Comput. Intell. Mag..
[9] Zhenfang Zhu,et al. Lexicon-Enhanced Attention Network Based on Text Representation for Sentiment Classification , 2019, Applied Sciences.
[10] Erik Cambria,et al. ABCDM: An Attention-based Bidirectional CNN-RNN Deep Model for sentiment analysis , 2021, Future Gener. Comput. Syst..
[11] Fengyu Zhou,et al. Co-attention networks based on aspect and context for aspect-level sentiment analysis , 2021, Knowl. Based Syst..
[12] Wei Li,et al. User reviews: Sentiment analysis using lexicon integrated two-channel CNN-LSTM family models , 2020, Appl. Soft Comput..
[13] Deyu Li,et al. Identification of fact-implied implicit sentiment based on multi-level semantic fused representation , 2019, Knowl. Based Syst..
[14] Yongfeng Huang,et al. Knowledge-enhanced neural networks for sentiment analysis of Chinese reviews , 2019, Neurocomputing.
[15] Erik Cambria,et al. SenticNet 6: Ensemble Application of Symbolic and Subsymbolic AI for Sentiment Analysis , 2020, CIKM.
[16] Kayvan Bijari,et al. Leveraging deep graph-based text representation for sentiment polarity applications , 2020, Expert Syst. Appl..
[17] Quang-Phuoc Nguyen,et al. Semantic and syntactic analysis in learning representation based on a sentiment analysis model , 2019, Applied Intelligence.
[18] Yinong Chen,et al. Targeted Sentiment Classification Based on Attentional Encoding and Graph Convolutional Networks , 2020, Applied Sciences.
[19] Yafei Zhang,et al. Chinese Implicit Sentiment Analysis Based on Hierarchical Knowledge Enhancement and Multi-Pooling , 2020, IEEE Access.
[20] Qiang Zhao,et al. BiLSTM with Multi-Polarity Orthogonal Attention for Implicit Sentiment Analysis , 2020, Neurocomputing.
[21] Diyi Yang,et al. Hierarchical Attention Networks for Document Classification , 2016, NAACL.
[22] Tao Chen,et al. Expert Systems With Applications , 2022 .
[23] Jiebo Luo,et al. Enhanced Aspect-Based Sentiment Analysis Models with Progressive Self-supervised Attention Learning , 2021, Artif. Intell..
[24] Yanfang Ye,et al. Heterogeneous Graph Attention Network , 2019, WWW.
[25] Bo Peng,et al. Adversarial learning of sentiment word representations for sentiment analysis , 2020, Inf. Sci..
[26] Yuan Luo,et al. Graph Convolutional Networks for Text Classification , 2018, AAAI.
[27] Hao Ma,et al. GaAN: Gated Attention Networks for Learning on Large and Spatiotemporal Graphs , 2018, UAI.
[28] Si Zhang,et al. Graph convolutional networks: a comprehensive review , 2019, Computational Social Networks.
[29] Siti Mariyam Shamsuddin,et al. Deep learning-based sentiment classification of evaluative text based on Multi-feature fusion , 2019, Inf. Process. Manag..
[30] Chenquan Gan,et al. Sparse attention based separable dilated convolutional neural network for targeted sentiment analysis , 2020, Knowl. Based Syst..
[31] Claude Baron,et al. An implicit opinion analysis model based on feature-based implicit opinion patterns , 2020, Artificial Intelligence Review.