Title
A Hidden Astroturfing Detection Approach Base on Emotion Analysis.
Abstract
This paper aims to take detection of hidden astroturfing based on emotion analysis. We propose a hidden astroturfing detection method which combines emotion analysis and unfair rating detection together. This approach contains five functional modules as: a data crawling module, pre-processing module, bag-of-word establishment module, emotion mining and analysis module and matching module. We give ROC curve (AUC) to evaluate the approach proposed in this paper. The results show that this method can realize the detection of implicit astroturfing under the prerequisite of improving the emotion classification accuracy. Our work discovers and studies a new hidden astroturfing characteristic, and construct a corpus manually for text emotion classification that establish a basis for our future research.
Year
DOI
Venue
2017
10.1007/978-3-319-63558-3_5
Lecture Notes in Artificial Intelligence
Keywords
Field
DocType
Astroturfing detection,Emotion analysis,Algorithm
Crawling,Computer science,Emotion classification,Artificial intelligence,Machine learning
Conference
Volume
ISSN
Citations 
10412
0302-9743
0
PageRank 
References 
Authors
0.34
10
9
Name
Order
Citations
PageRank
Tong Chen17013.20
Noora Hashim Alallaq200.34
Wenjia Niu317830.33
Yingdi Wang400.68
XiaoXuan Bai501.01
Jingjing Liu651539.31
Yingxiao Xiang733.87
Tong Wu811.36
Jiqiang Liu931552.31