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Online reviews have become a vital source of information in purchasing a service (product).
Actor-critic algorithms
Vijay R Konda and John N Tsitsiklis · 2000
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Policy gradient methods for reinforcement learning with function approximation
Richard S Sutton, David A McAllester, Satinder P Singh, and Yishay Mansour · 2000
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Opinion spam and analysis
Nitin Jindal and Bing Liu · 2008
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Finding unusual review patterns using unexpected rules
Nitin Jindal, Bing Liu, and Ee-Peng Lim · 2010
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Learning to identify review spam
Fangtao Li, Minlie Huang, Yi Yang, and Xiaoyan Zhu · 2011
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Finding deceptive opinion spam by any stretch of the imagination
Myle Ott, Yejin Choi, Claire Cardie, and Jeffrey T. Hancock · 2011
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Review graph based online store review spammer detection
Guan Wang, Sihong Xie, Bing Liu, and S Yu Philip · 2011
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Syntactic stylometry for deception detection
Song Feng, Ritwik Banerjee, and Yejin Choi · 2012
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Opinion fraud detection in online reviews by network effects
Leman Akoglu, Rishi Chandy, and Christos Faloutsos · 2013
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Using pu-learning to detect deceptive opinion spam
Donato Hernández, Rafael Guzmán, Manuel Móntes y Gomez, and Paolo Rosso · 2013
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What yelp fake review filter might be doing?
Arjun Mukherjee, Vivek Venkataraman, Bing Liu, and Natalie Glance · 2013
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Generative adversarial nets
Ian Goodfellow, Jean Pouget-Abadie, Mehdi Mirza, Bing Xu, David Warde-Farley, Sherjil Ozair, Aaron Courville, and Yoshua Bengio · 2014
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Spotting fake reviews using positive-unlabeled learning
Huayi Li, Bing Liu, Arjun Mukherjee, and Jidong Shao · 2014
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Survey of review spam detection using machine learning techniques
Michael Crawford, Taghi M Khoshgoftaar, Joseph D Prusa, Aaron N Richter, and Hamzah Al Najada · 2015
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How (not) to train your generative model: Scheduled sampling, likelihood, adversary?
Ferenc Huszár · 2015
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Recurrent convolutional neural networks for text classification
Siwei Lai, Liheng Xu, Kang Liu, and Jun Zhao · 2015
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Deep learning
Yann LeCun, Yoshua Bengio, and Geoffrey Hinton · 2015
Adversarial Learning for Neural Dialogue Generation
Jiwei Li, Will Monroe, Tianlin Shi, Sébastien Jean, Alan Ritter, and Dan Jurafsky · 2017
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Neural networks for deceptive opinion spam detection: An empirical study
Yafeng Ren and Donghong Ji · 2017
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Seqgan: Sequence generative adversarial nets with policy gradient
Lantao Yu, Weinan Zhang, Jun Wang, and Yong Yu · 2017
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Maskgan: Better text generation via filling in the _
William Fedus, Ian Goodfellow, and Andrew M Dai · 2018
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Flow-gan: Combining maximum likelihood and adversarial learning in generative models
Aditya Grover, Manik Dhar, and Stefano Ermon · 2018
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Long text generation via adversarial training with leaked information
Jiaxian Guo, Sidi Lu, Han Cai, Weinan Zhang, Yong Yu, and Jun Wang · 2018
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Analyzing and detecting opinion spam on a large-scale dataset via temporal and spatial patterns
Huayi Li, Zhiyuan Chen, Arjun Mukherjee, Bing Liu, and Jidong Shao · 2015
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Collective opinion spam detection: Bridging review networks and metadata
Shebuti Rayana and Leman Akoglu · 2015
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A unified model for unsupervised opinion spamming detection incorporating text generality
Yinqing Xu, Bei Shi, Wentao Tian, and Wai Lam · 2015
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Toward controlled generation of text
Zhiting Hu, Zichao Yang, Xiaodan Liang, Ruslan Salakhutdinov, and Eric P Xing · 2017
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Semi-supervised learning with gans: manifold invariance with improved inference
Abhishek Kumar, Prasanna Sattigeri, and Tom Fletcher · 2017
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https://learn.g2crowd.com/customer-reviews-statistics
Crowd Learning Hub · 2018
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A generative model for category text generation
Yang Li, Quan Pan, Suhang Wang, Tao Yang, and Erik Cambria · 2018
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Improving conditional sequence generative adversarial networks by stepwise evaluation
Yi-Lin Tuan and Hung-Yi Lee · 2018
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Dri-rcnn: An approach to deceptive review identification using recurrent convolutional neural network
Wen Zhang, Yuhang Du, Taketoshi Yoshida, and Qing Wang · 2018
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