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Deceptive Review Spam Detection via Exploiting Task Relatedness and Unlabeled Data
Zhen Hai
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Peilin Zhao
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Peng Cheng
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Peng Yang
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Xiao-Li Li
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Guangxia Li
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Paper Details:
Month: November
Year: 2016
Location: Austin, Texas
Venue:
EMNLP |
SIG: SIGDAT
Citations
URL
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection
Zhenni You
|
Tieyun Qian
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Bing Liu
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Automated Fact Checking: Task Formulations, Methods and Future Directions
James Thorne
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Andreas Vlachos
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Handling Cold-Start Problem in Review Spam Detection by Jointly Embedding Texts and Behaviors
Xuepeng Wang
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Kang Liu
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Jun Zhao
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“Liar, Liar Pants on Fire”: A New Benchmark Dataset for Fake News Detection
William Yang Wang
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Online Deception Detection Refueled by Real World Data Collection
Wenlin Yao
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Zeyu Dai
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Ruihong Huang
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James Caverlee
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https://www.mturk.com
https://www.ratemds.com
https://www.tripadvisor.com
http://www.yelp.com
Field Of Study
Approach
Bayesian Model
Semi-supervised Learning
Language
English
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