Revisiting Semi-Supervised Learning for Online Deceptive Review Detection

Revisiting Semi-Supervised Learning for Online Deceptive Review Detection

With more consumers using online opinion reviews to inform their service decision making, opinion reviews have an economical impact on the bottom line of businesses. Unsurprisingly, opportunistic individuals or groups have attempted to abuse or manipulate online opinion reviews (e.g., spam reviews)...

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Bibliographic Details
Main Authors: Jitendra Kumar Rout, Anmol Dalmia, Kim-Kwang Raymond Choo, Sambit Bakshi, Sanjay Kumar Jena
Format: Article
Language:English
Published: IEEE 2017-01-01
Series:IEEE Access
Subjects:
Online review spam
semi-supervised learning
unlabeled reviews
PU learning
Co-training
EM algorithm
Online Access:https://ieeexplore.ieee.org/document/7822945/

Internet

https://ieeexplore.ieee.org/document/7822945/

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