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Sentiment analysis is a common task in natural language processing that aims to detect polarity of a text document (typically a consumer review).
Improved backing-off for m-gram language modeling
Kneser, Reinhard and Ney, Hermann · 1995
Earlier work this paper cites.
Srilm-an extensible language modeling toolkit
Stolcke, Andreas et al · 2002
Earlier work this paper cites.
Opinion mining and sentiment analysis
Pang, Bo and Lee, Lillian · 2008
Earlier work this paper cites.
Recurrent neural network based language model
Mikolov, Tomas, Karafiát, Martin, Burget, Lukas, Cernockỳ, Jan, and Khudanpur, Sanjeev · 2010
Earlier work this paper cites.
Learning word vectors for sentiment analysis
Maas, Andrew L., Daly, Raymond E., Pham, Peter T., Huang, Dan, Ng, Andrew Y., and Potts, Christopher · 2011
Cited alongside, same era.
Semi-supervised recursive autoencoders for predicting sentiment distributions
Socher, Richard, Pennington, Jeffrey, Huang, Eric, Ng, Andrew, and Manning, Christopher D · 2011
Cited alongside, same era.
Statistical language models based on neural networks
Mikolov, Tomáš · 2012
Cited alongside, same era.
On the difficulty of training recurrent neural networks
Pascanu, Razvan, Mikolov, Tomas, and Bengio, Yoshua · 2012
Later among the works it cites.
Baselines and bigrams: Simple, good sentiment and topic classification
Wang, Sida and Manning, Christopher D · 2012
Later among the works it cites.
Distributed representations of sentences and documents
Le, Quoc V. and Mikolov, Tomas · 2014
Closest in time.
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