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Recently, sentiment analysis has seen remarkable advance with the help of pre-training approaches.
Ernie: Enhanced representation through knowledge integration
Yu Sun, Shuohuan Wang, Yukun Li, Shikun Feng, Xuyi Chen, Han Zhang, Xin Tian, Danxiang Zhu, Hao Tian, and Hua Wu. 2019 · 1904
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Unsupervised data augmentation
Qizhe Xie, Zihang Dai, Eduard H. Hovy, Minh-Thang Luong, and Quoc V. Le. 2019 · 1904
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SpanBERT: Improving pre-training by representing and predicting spans
Mandar Joshi, Danqi Chen, Yinhan Liu, Daniel S. Weld, Luke Zettlemoyer, and Omer Levy. 2019 · 1907
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Roberta: A robustly optimized bert pretraining approach
Yinhan Liu, Myle Ott, Naman Goyal, Jingfei Du, Mandar Joshi, Danqi Chen, Omer Levy, Mike Lewis, Luke Zettlemoyer, and Veselin Stoyanov. 2019 · 1907
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Alexander Rietzler, Sebastian Stabinger, Paul Opitz, and Stefan Engl. 2019 · 1908
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Albert: A lite bert for self-supervised learning of language representations
Zhen-Zhong Lan, Mingda Chen, Sebastian Goodman, Kevin Gimpel, Piyush Sharma, and Radu Soricut. 2019 · 1909
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Thumbs up or thumbs down?: semantic orientation applied to unsupervised classification of reviews
Peter D Turney. 2002 · 2002
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Annotating expressions of opinions and emotions in language
Janyce Wiebe, Theresa Wilson, and Claire Cardie. 2005 · 2005
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Opinion mining and sentiment analysis
Bo Pang, Lillian Lee, et al. 2008 · 2008
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Fine-grained subjectivity and sentiment analysis: Recognizing the intensity, polarity, and attitudes of private states
Theresa Ann Wilson. 2008 · 2008
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Sentiment analysis of twitter data
Apoorv Agarwal, Boyi Xie, Ilia Vovsha, Owen Rambow, and Rebecca Passonneau. 2011 · 2011
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Lexicon-based methods for sentiment analysis
Maite Taboada, Julian Brooke, Milan Tofiloski, Kimberly Voll, and Manfred Stede. 2011 · 2011
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Sentiment analysis and opinion mining
Bing Liu. 2012 · 2012
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Recursive deep models for semantic compositionality over a sentiment treebank
Richard Socher, Alex Perelygin, Jean Wu, Jason Chuang, Christopher D. Manning, Andrew Ng, and Christopher Potts. 2013 · 2013
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SemEval-2014 task 4: Aspect based sentiment analysis
Maria Pontiki, Dimitris Galanis, John Pavlopoulos, Harris Papageorgiou, Ion Androutsopoulos, and Suresh Manandhar. 2014 · 2014
Cited alongside, same era.
Learning sentiment-specific word embedding for twitter sentiment classification
Duyu Tang, Furu Wei, Nan Yang, Ming Zhou, Ting Liu, and Bing Qin. 2014 · 2014
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Target-dependent twitter sentiment classification with rich automatic features
Duy-Tin Vo and Yue Zhang. 2015 · 2015
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Character-level convolutional networks for text classification
Xiang Zhang, Junbo Zhao, and Yann LeCun. 2015 · 2015
Cited alongside, same era.
Recurrent neural networks with auxiliary labels for cross-domain opinion target extraction
Ying Ding, Jianfei Yu, and Jing Jiang. 2017 · 2017
Cited alongside, same era.
A question answering approach for emotion cause extraction
Deep contextualized word representations
Matthew E Peters, Mark Neumann, Mohit Iyyer, Matt Gardner, Christopher Clark, Kenton Lee, and Luke Zettlemoyer. 2018 · 2018
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Improving language understanding with unsupervised learning
Alec Radford, Karthik Narasimhan, Time Salimans, and Ilya Sutskever. 2018 · 2018
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GLUE: A multi-task benchmark and analysis platform for natural language understanding
Alex Wang, Amanpreet Singh, Julian Michael, Felix Hill, Omer Levy, and Samuel Bowman. 2018 · 2018
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Deep learning for sentiment analysis : A survey
Lei Zhang, Shuai Wang, and Bing Liu. 2018 · 2018
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Lexicon information in neural sentiment analysis: a multi-task learning approach
Jeremy Barnes, Samia Touileb, Lilja Øvrelid, and Erik Velldal. 2019 · 2019
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Lin Gui, Jiannan Hu, Yulan He, Ruifeng Xu, Qin Lu, and Jiachen Du. 2017 · 2017
Cited alongside, same era.
Deep multi-task learning for aspect term extraction with memory interaction
Xin Li and Wai Lam. 2017 · 2017
Cited alongside, same era.
Linguistically regularized LSTM for sentiment classification
Qiao Qian, Minlie Huang, Jinhao Lei, and Xiaoyan Zhu. 2017 · 2017
Cited alongside, same era.
Lexicon integrated CNN models with attention for sentiment analysis
Bonggun Shin, Timothy Lee, and Jinho D. Choi. 2017 · 2017
Cited alongside, same era.
Attention is all you need
Ashish Vaswani, Noam Shazeer, Niki Parmar, Jakob Uszkoreit, Llion Jones, Aidan N. Gomez, Lukasz Kaiser, and Illia Polosukhin. 2017 · 2017
Cited alongside, same era.
Transfer learning for sequence tagging with hierarchical recurrent networks
Zhilin Yang, Ruslan Salakhutdinov, and William W. Cohen. 2017 · 2017
Cited alongside, same era.
Pinlong Zhao, Linlin Hou, and Ou Wu. 2019 · 2017
Cited alongside, same era.
BERT: Pre-training of deep bidirectional transformers for language understanding
Jacob Devlin, Ming-Wei Chang, Kenton Lee, and Kristina Toutanova. 2019 · 2019
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A knowledge regularized hierarchical approach for emotion cause analysis
Chuang Fan, Hongyu Yan, Jiachen Du, Lin Gui, Lidong Bing, Min Yang, Ruifeng Xu, and Ruibin Mao. 2019 · 2019
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GlossBERT: BERT for word sense disambiguation with gloss knowledge
Luyao Huang, Chi Sun, Xipeng Qiu, and Xuanjing Huang. 2019 · 2019
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What does BERT learn about the structure of language?
Ganesh Jawahar, Benoît Sagot, and Djamé Seddah. 2019 · 2019
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Sensebert: Driving some sense into bert
Yoav Levine, Barak Lenz, Or Dagan, Dan Padnos, Or Sharir, Shai Shalev-Shwartz, Amnon Shashua, and Yoav Shoham. 2019 · 2019
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Exploring the limits of transfer learning with a unified text-to-text transformer
Colin Raffel, Noam Shazeer, Adam Roberts, Katherine Lee, Sharan Narang, Michael Matena, Yanqi Zhou, Wei Li, and Peter J. Liu. 2019 · 2019
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Xlnet: Generalized autoregressive pretraining for language understanding
Zhilin Yang, Zihang Dai, Yiming Yang, Jaime Carbonell, Ruslan Salakhutdinov, and Quoc V. Le. 2019 · 2019
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A variational approach to weakly supervised document-level multi-aspect sentiment classification
Ziqian Zeng, Wenxuan Zhou, Xin Liu, and Yangqiu Song. 2019 · 2019
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ERNIE: Enhanced language representation with informative entities
Zhengyan Zhang, Xu Han, Zhiyuan Liu, Xin Jiang, Maosong Sun, and Qun Liu. 2019 · 2019
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