Name
Abstract | ||
|---|---|---|
•Dealing with review spammer detection problem.•We propose an unified framework for detecting author spamicity.•A set of abnormity signals were proposed from deviation angle.•An aspect-based deviation was designed to model latent content deviation.•Experimental results suggest that our approach is appropriate for this task. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.eswa.2018.06.028 | Expert Systems with Applications |
Keywords | Field | DocType |
Review spam,Spam detection techniques,Fake reviews,Bidirectional LSTM,Review deviation | Data mining,Ranking,Computer science,Outlier,Customer reviews,Spamming | Journal |
Volume | ISSN | Citations |
112 | 0957-4174 | 2 |
PageRank | References | Authors |
0.36 | 29 | 2 |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yuanchao Liu | 1 | 36 | 9.89 |
| Bo Pang | 2 | 5795 | 451.00 |