Name
Title | ||
|---|---|---|
Evolving Support Vector Machines using Whale Optimization Algorithm for spam profiles detection on online social networks in different lingual contexts. |
Abstract | ||
|---|---|---|
•A new classification approach based Support Vector Machine is proposed for detecting spammers on Twitter.•The proposed approach reveals the most influencing features in the process of identifying spammers.•Different lingual contexts are studied: Arabic, English, Spanish, and Korean. |
Year | DOI | Venue |
|---|---|---|
2018 | 10.1016/j.knosys.2018.04.025 | Knowledge-Based Systems |
Keywords | Field | DocType |
Spam detection,Feature selection,Social networks,Twitter,Classification,Whale Optimization Algorithm,WOA,Metaheuristic,Support Vector Machine,SVM,Multilingual | Whale,Data mining,Social network,Arabic,Computer science,Support vector machine,Artificial intelligence,Optimization algorithm,Recall,Machine learning,Metaheuristic | Journal |
Volume | Issue | ISSN |
153 | C | 0950-7051 |
Citations | PageRank | References |
11 | 0.49 | 28 |
Authors | ||
4 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Ala' M. Al-Zoubi | 1 | 221 | 9.83 |
| Hossam Faris | 2 | 761 | 38.48 |
| Ja'far Alqatawna | 3 | 32 | 3.66 |
| Mohammad A. Hassonah | 4 | 73 | 3.64 |