Self-Attention-Based BiLSTM Model for Short Text Fine-Grained Sentiment Classification
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Xinying Xu | Jun Xie | Bo Chen | Xinglong Gu | Fengmei Liang | Xinying Xu | Fengmei Liang | Jun Xie | Bo Chen | Xinglong Gu | Xinglong Gu
[1] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[2] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[3] Daniel Jurafsky,et al. A Hierarchical Neural Autoencoder for Paragraphs and Documents , 2015, ACL.
[4] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[5] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[6] Bing Liu. Sentiment Analysis , 2020 .
[7] Christopher D. Manning,et al. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks , 2015, ACL.
[8] Klaus-Robert Müller,et al. Explaining Recurrent Neural Network Predictions in Sentiment Analysis , 2017, WASSA@EMNLP.
[9] Jason Weston,et al. A Neural Attention Model for Abstractive Sentence Summarization , 2015, EMNLP.
[10] Xiaocheng Feng,et al. Target-Dependent Sentiment Classification with Long Short Term Memory , 2015, ArXiv.
[11] Ting Liu,et al. Aspect Level Sentiment Classification with Deep Memory Network , 2016, EMNLP.
[12] Houfeng Wang,et al. Interactive Attention Networks for Aspect-Level Sentiment Classification , 2017, IJCAI.
[13] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[14] M. Perc,et al. Doubly effects of information sharing on interdependent network reciprocity , 2018, New Journal of Physics.
[15] Lukás Burget,et al. Recurrent neural network based language model , 2010, INTERSPEECH.
[16] Ahlam Ansari,et al. Intelligent question answering system based on Artificial Neural Network , 2016, 2016 IEEE International Conference on Engineering and Technology (ICETECH).
[17] Yue Zhang,et al. Context-Sensitive Twitter Sentiment Classification Using Neural Network , 2016, AAAI.
[18] Bowen Zhou,et al. ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs , 2015, TACL.
[19] Li Zhao,et al. Attention-based LSTM for Aspect-level Sentiment Classification , 2016, EMNLP.
[20] Bowen Zhou,et al. Abstractive Text Summarization using Sequence-to-sequence RNNs and Beyond , 2016, CoNLL.
[21] Preslav Nakov,et al. SemEval-2016 Task 4: Sentiment Analysis in Twitter , 2016, *SEMEVAL.
[22] Jun Zhao,et al. Recurrent Convolutional Neural Networks for Text Classification , 2015, AAAI.
[23] Christopher J. Lowrance,et al. Effect of training set size on SVM and Naive Bayes for Twitter sentiment analysis , 2015, 2015 IEEE International Symposium on Signal Processing and Information Technology (ISSPIT).
[24] Hermann Ney,et al. LSTM Neural Networks for Language Modeling , 2012, INTERSPEECH.
[25] Matjaz Perc,et al. The Matthew effect in empirical data , 2014, Journal of The Royal Society Interface.
[26] Yoshua Bengio,et al. Show, Attend and Tell: Neural Image Caption Generation with Visual Attention , 2015, ICML.
[27] Matjaz Perc,et al. Self-organization of progress across the century of physics , 2013, Scientific Reports.
[28] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[29] Ming Zhou,et al. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification , 2014, ACL.
[30] Hinrich Schütze,et al. Erratum: “ABCNN: Attention-Based Convolutional Neural Network for Modeling Sentence Pairs” , 2016, Transactions of the Association for Computational Linguistics.
[31] Alex Graves,et al. Recurrent Models of Visual Attention , 2014, NIPS.
[32] Lukasz Kaiser,et al. Attention is All you Need , 2017, NIPS.
[33] Xianghan Zheng,et al. Deep Sentiment Representation Based on CNN and LSTM , 2017, 2017 International Conference on Green Informatics (ICGI).
[34] Jiajun Zhang,et al. Deep Neural Networks in Machine Translation: An Overview , 2015, IEEE Intelligent Systems.
[35] Matjaz Perc,et al. Inheritance patterns in citation networks reveal scientific memes , 2014, ArXiv.
[36] Pei Li,et al. Sentiment Classification of Chinese Microblogging Texts with Global RNN , 2016, 2016 IEEE First International Conference on Data Science in Cyberspace (DSC).