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Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms.
Kiril Danilchenko,
Michael Segal
,
Dan Vilenchik
Research output
:
Working paper/Preprint
›
Preprint
Overview
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Dive into the research topics of 'Opinion Spam Detection: A New Approach Using Machine Learning and Network-Based Algorithms.'. Together they form a unique fingerprint.
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Keyphrases
Machine Learning Algorithms
100%
Human-machine Systems
100%
Labeled Data
100%
Network Algorithms
100%
Opinion Spam Detection
100%
Service Provider
33%
Fast-growing
33%
Machine Learning Techniques
33%
Machine Learning
33%
Electronic Commerce
33%
Active Learning
33%
Online Reviews
33%
Large Set
33%
Uniform Sampling
33%
Graph Structure
33%
Training Step
33%
HTTPS
33%
Spammer
33%
Active Learning Approach
33%
Message-passing Algorithms
33%
Machine Learning pipelines
33%
Opinion Spam
33%
Opinion Spammer
33%
User Graph
33%
Fake Reviews
33%
Computer Science
Machine Learning
100%
Opinion Spam Detection
100%
Active Learning
50%
Provider Service
25%
Learning Approach
25%
Message Passing
25%
Uniform Sampling
25%
spam
25%