A CNN-BiLSTM Model for Document-Level Sentiment Analysis
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Mounia Mikram | Siham Yousfi | Maryem Rhanoui | Soukaina Barzali | M. Rhanoui | M. Mikram | Siham Yousfi | Soukaina Barzali | Maryem Rhanoui
[1] Shuai Wang,et al. Deep learning for sentiment analysis: A survey , 2018, WIREs Data Mining Knowl. Discov..
[2] B. Pang,et al. Mining Sentiment Classification from Political Web Logs , 2006 .
[3] Mário J. Silva,et al. Automatic creation of a reference corpus for political opinion mining in user-generated content , 2009, TSA@CIKM.
[4] Ming Zhou,et al. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification , 2014, ACL.
[5] Jeffrey Dean,et al. Distributed Representations of Words and Phrases and their Compositionality , 2013, NIPS.
[6] Jeffrey Pennington,et al. GloVe: Global Vectors for Word Representation , 2014, EMNLP.
[7] Hong Qu,et al. Bag of meta-words: A novel method to represent document for the sentiment classification , 2018, Expert Syst. Appl..
[8] Zhiyong Luo,et al. Combination of Convolutional and Recurrent Neural Network for Sentiment Analysis of Short Texts , 2016, COLING.
[9] A. Shoukry,et al. Sentence-level Arabic sentiment analysis , 2012, 2012 International Conference on Collaboration Technologies and Systems (CTS).
[10] Li Zhao,et al. Attention-based LSTM for Aspect-level Sentiment Classification , 2016, EMNLP.
[11] Micha Elsner,et al. Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers) , 2014 .
[12] Jimmy Ba,et al. Adam: A Method for Stochastic Optimization , 2014, ICLR.
[13] Abhishek Verma,et al. Deep CNN-LSTM with combined kernels from multiple branches for IMDb review sentiment analysis , 2017, 2017 IEEE 8th Annual Ubiquitous Computing, Electronics and Mobile Communication Conference (UEMCON).
[14] Hyeoncheol Kim,et al. Multi-Channel Lexicon Integrated CNN-BiLSTM Models for Sentiment Analysis , 2017, ROCLING/IJCLCLP.
[15] Yen-Liang Chen,et al. Opinion mining from online hotel reviews - A text summarization approach , 2017, Inf. Process. Manag..
[16] F. Gers,et al. Long short-term memory in recurrent neural networks , 2001 .
[17] Kuldip K. Paliwal,et al. Bidirectional recurrent neural networks , 1997, IEEE Trans. Signal Process..
[18] Alessandro Moschitti,et al. Twitter Sentiment Analysis with Deep Convolutional Neural Networks , 2015, SIGIR.
[19] Diyi Yang,et al. Hierarchical Attention Networks for Document Classification , 2016, NAACL.
[20] J. van Leeuwen,et al. Neural Networks: Tricks of the Trade , 2002, Lecture Notes in Computer Science.
[21] Mohand Boughanem,et al. Opinion mining: reviewed from word to document level , 2013, Social Network Analysis and Mining.
[22] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[23] Tomas Mikolov,et al. Enriching Word Vectors with Subword Information , 2016, TACL.
[24] Jürgen Schmidhuber,et al. LSTM: A Search Space Odyssey , 2015, IEEE Transactions on Neural Networks and Learning Systems.
[25] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[26] Peng Zhou,et al. Text Classification Improved by Integrating Bidirectional LSTM with Two-dimensional Max Pooling , 2016, COLING.
[27] Guillaume Bouchard,et al. Opinion mining in social media: Modeling, simulating, and forecasting political opinions in the web , 2012, Gov. Inf. Q..
[28] Timothy Baldwin,et al. An Empirical Evaluation of doc2vec with Practical Insights into Document Embedding Generation , 2016, Rep4NLP@ACL.
[29] Wenpeng Yin,et al. Comparative Study of CNN and RNN for Natural Language Processing , 2017, ArXiv.
[30] Yoav Goldberg,et al. Understanding Convolutional Neural Networks for Text Classification , 2018, BlackboxNLP@EMNLP.
[31] Claire Cardie,et al. Multi-Level Structured Models for Document-Level Sentiment Classification , 2010, EMNLP.
[32] Gui Xiaolin,et al. Deep Convolution Neural Networks for Twitter Sentiment Analysis , 2018, IEEE Access.
[33] Léon Bottou,et al. Large-Scale Machine Learning with Stochastic Gradient Descent , 2010, COMPSTAT.
[34] Hermann Ney,et al. LSTM Neural Networks for Language Modeling , 2012, INTERSPEECH.
[35] Lillian Lee,et al. Opinion Mining and Sentiment Analysis , 2008, Found. Trends Inf. Retr..
[36] Nitish Srivastava,et al. Improving neural networks by preventing co-adaptation of feature detectors , 2012, ArXiv.
[37] Zhiyong Feng,et al. LSTM with sentence representations for document-level sentiment classification , 2018, Neurocomputing.
[38] Serkan Günal,et al. The impact of preprocessing on text classification , 2014, Inf. Process. Manag..
[39] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[40] Bing Liu,et al. Sentiment Analysis and Opinion Mining , 2012, Synthesis Lectures on Human Language Technologies.
[41] Christopher D. Manning,et al. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks , 2015, ACL.
[42] Klaus-Robert Müller,et al. Efficient BackProp , 2012, Neural Networks: Tricks of the Trade.
[43] Jeonghee Yi,et al. Sentiment analysis: capturing favorability using natural language processing , 2003, K-CAP '03.
[44] Meng Zhang,et al. Neural Network Methods for Natural Language Processing , 2017, Computational Linguistics.
[45] Yaoru Sun,et al. Sentiment Analysis of Movie Reviews Based on CNN-BLSTM , 2017, IFIP TC12 ICIS.
[46] Stephan M. Winkler,et al. On Text Preprocessing for Opinion Mining Outside of Laboratory Environments , 2012, AMT.
[47] Ming Zhou,et al. Coooolll: A Deep Learning System for Twitter Sentiment Classification , 2014, *SEMEVAL.
[48] Cícero Nogueira dos Santos,et al. Deep Convolutional Neural Networks for Sentiment Analysis of Short Texts , 2014, COLING.
[49] Jun Zhao,et al. Recurrent Convolutional Neural Networks for Text Classification , 2015, AAAI.
[50] Abdel-Badeeh M. Salem,et al. Analysis of Machine Learning Algorithms for Opinion Mining in Different Domains , 2018, Mach. Learn. Knowl. Extr..