Context-Sensitive Lexicon Features for Neural Sentiment Analysis
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[1] Hongyu Guo,et al. Long Short-Term Memory Over Tree Structures , 2015, ArXiv.
[2] Kiyoaki Shirai,et al. PhraseRNN: Phrase Recursive Neural Network for Aspect-based Sentiment Analysis , 2015, EMNLP.
[3] Colm Kearney,et al. Textual Sentiment in Finance: A Survey of Methods and Models , 2013 .
[4] Quoc V. Le,et al. Distributed Representations of Sentences and Documents , 2014, ICML.
[5] Andrea Esuli,et al. SentiWordNet 3.0: An Enhanced Lexical Resource for Sentiment Analysis and Opinion Mining , 2010, LREC.
[6] Preslav Nakov,et al. SemEval-2013 Task 2: Sentiment Analysis in Twitter , 2013, *SEMEVAL.
[7] Claire Cardie,et al. Learning with Compositional Semantics as Structural Inference for Subsentential Sentiment Analysis , 2008, EMNLP.
[8] Andrea Esuli,et al. SENTIWORDNET: A Publicly Available Lexical Resource for Opinion Mining , 2006, LREC.
[9] Yoon Kim,et al. Convolutional Neural Networks for Sentence Classification , 2014, EMNLP.
[10] Ming Zhou,et al. Building Large-Scale Twitter-Specific Sentiment Lexicon : A Representation Learning Approach , 2014, COLING.
[11] Jürgen Schmidhuber,et al. Long Short-Term Memory , 1997, Neural Computation.
[12] Marco Guerini,et al. Sentiment Analysis: How to Derive Prior Polarities from SentiWordNet , 2013, EMNLP.
[13] Noah A. Smith,et al. Transition-Based Dependency Parsing with Stack Long Short-Term Memory , 2015, ACL.
[14] Xin Wang,et al. Predicting Polarities of Tweets by Composing Word Embeddings with Long Short-Term Memory , 2015, ACL.
[15] Annie Zaenen,et al. Contextual Valence Shifters , 2006, Computing Attitude and Affect in Text.
[16] Yue Zhang,et al. Context-Sensitive Twitter Sentiment Classification Using Neural Network , 2016, AAAI.
[17] Owen Rambow,et al. Sentiment Analysis of Twitter Data , 2011 .
[18] Christopher D. Manning,et al. Improved Semantic Representations From Tree-Structured Long Short-Term Memory Networks , 2015, ACL.
[19] Yoshua Bengio,et al. Learning Phrase Representations using RNN Encoder–Decoder for Statistical Machine Translation , 2014, EMNLP.
[20] Yue Zhang,et al. Target-Dependent Twitter Sentiment Classification with Rich Automatic Features , 2015, IJCAI.
[21] Jeffrey Pennington,et al. Semi-Supervised Recursive Autoencoders for Predicting Sentiment Distributions , 2011, EMNLP.
[22] Eduard H. Hovy,et al. When Are Tree Structures Necessary for Deep Learning of Representations? , 2015, EMNLP.
[23] Saif Mohammad,et al. NRC-Canada: Building the State-of-the-Art in Sentiment Analysis of Tweets , 2013, *SEMEVAL.
[24] R. Montague. Formal philosophy; selected papers of Richard Montague , 1974 .
[25] Philip S. Yu,et al. A holistic lexicon-based approach to opinion mining , 2008, WSDM '08.
[26] Nitish Srivastava,et al. Dropout: a simple way to prevent neural networks from overfitting , 2014, J. Mach. Learn. Res..
[27] Geoffrey E. Hinton,et al. Speech recognition with deep recurrent neural networks , 2013, 2013 IEEE International Conference on Acoustics, Speech and Signal Processing.
[28] Claire Cardie,et al. Deep Recursive Neural Networks for Compositionality in Language , 2014, NIPS.
[29] Kerstin Denecke,et al. Are SentiWordNet scores suited for multi-domain sentiment classification? , 2009, 2009 Fourth International Conference on Digital Information Management.
[30] Ming Zhou,et al. Learning Sentiment-Specific Word Embedding for Twitter Sentiment Classification , 2014, ACL.
[31] Saif Mohammad,et al. NRC-Canada-2014: Recent Improvements in the Sentiment Analysis of Tweets , 2014, SemEval@COLING.
[32] Phong Le,et al. Compositional Distributional Semantics with Long Short Term Memory , 2015, *SEMEVAL.
[33] Soo-Min Kim,et al. Determining the Sentiment of Opinions , 2004, COLING.
[34] Max J. Cresswell,et al. Formal philosophy, selected papers of richard montague , 1976 .
[35] Erik Cambria,et al. Affective Computing and Sentiment Analysis , 2016, IEEE Intelligent Systems.
[36] Khurshid Ahmad,et al. Sentiment Polarity Identification in Financial News: A Cohesion-based Approach , 2007, ACL.
[37] Phil Blunsom,et al. A Convolutional Neural Network for Modelling Sentences , 2014, ACL.
[38] Andrew Y. Ng,et al. Semantic Compositionality through Recursive Matrix-Vector Spaces , 2012, EMNLP.
[39] Janyce Wiebe,et al. Recognizing Contextual Polarity in Phrase-Level Sentiment Analysis , 2005, HLT.
[40] Jürgen Schmidhuber,et al. Framewise phoneme classification with bidirectional LSTM and other neural network architectures , 2005, Neural Networks.
[41] Oscar Täckström,et al. Discovering Fine-Grained Sentiment with Latent Variable Structured Prediction Models , 2011, ECIR.
[42] Yoshua Bengio,et al. Neural Machine Translation by Jointly Learning to Align and Translate , 2014, ICLR.
[43] Christopher Potts,et al. Recursive Deep Models for Semantic Compositionality Over a Sentiment Treebank , 2013, EMNLP.
[44] Peter D. Turney. Thumbs Up or Thumbs Down? Semantic Orientation Applied to Unsupervised Classification of Reviews , 2002, ACL.
[45] Maite Taboada,et al. Lexicon-Based Methods for Sentiment Analysis , 2011, CL.
[46] Yue Zhang,et al. Gated Neural Networks for Targeted Sentiment Analysis , 2016, AAAI.
[47] Geoffrey E. Hinton,et al. On the importance of initialization and momentum in deep learning , 2013, ICML.
[48] Bing Liu,et al. Mining and summarizing customer reviews , 2004, KDD.
[49] Saif Mohammad,et al. Sentiment Analysis of Short Informal Texts , 2014, J. Artif. Intell. Res..
[50] Xuanjing Huang,et al. Multi-Timescale Long Short-Term Memory Neural Network for Modelling Sentences and Documents , 2015, EMNLP.
[51] Ming Zhou,et al. Adaptive Recursive Neural Network for Target-dependent Twitter Sentiment Classification , 2014, ACL.