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Identifying fake Amazon reviews as learning from crowds
Tommaso Fornaciari
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Massimo Poesio
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Paper Details:
Month: April
Year: 2014
Location: Gothenburg, Sweden
Venue:
EACL |
Soial Media Activity
Citations
URL
An Attribute Enhanced Domain Adaptive Model for Cold-Start Spam Review Detection
Zhenni You
|
Tieyun Qian
|
Bing Liu
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The Enemy in Your Own Camp: How Well Can We Detect Statistically-Generated Fake Reviews – An Adversarial Study
Dirk Hovy
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The Social Impact of Natural Language Processing
Dirk Hovy
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Shannon L. Spruit
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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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Classification of deceptive opinions using a low dimensionality representation
Leticia Cagnina
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Paolo Rosso
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Estimating the amenibility of new domains for deception detection
Eileen Fitzpatrick
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Joan Bachenko
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Using Rhetorical Structure Theory for Detection of Fake Online Reviews
Olu Popoola
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http://www.guardian.co.uk/books/2012/
http://www.moneytalksnews.com/2011/07/25
http://www.nytimes.com/2011/08/20/
http://www.nytimes.com/2012/08/26/busin
http://www.nytimes.com/2012/08/26/busin
http://www.ims.uni-stuttgart
http://www.r-project.org/
Field Of Study
Task
Tagging
Text Categorization
Language
English
Dataset
Scientific Literature
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