| Title |
Detection and classification of social media-based extremist affiliations using sentiment analysis techniques
|
|---|---|
| Published in |
Human-centric Computing and Information Sciences, July 2019
|
| DOI | 10.1186/s13673-019-0185-6 |
| Authors |
Shakeel Ahmad, Muhammad Zubair Asghar, Fahad M. Alotaibi, Irfanullah Awan |
Mendeley readers
The data shown below were compiled from readership statistics for 211 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 211 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 24 | 11% |
| Student > Bachelor | 19 | 9% |
| Student > Ph. D. Student | 18 | 9% |
| Lecturer | 14 | 7% |
| Researcher | 14 | 7% |
| Other | 26 | 12% |
| Unknown | 96 | 45% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 68 | 32% |
| Social Sciences | 11 | 5% |
| Business, Management and Accounting | 6 | 3% |
| Engineering | 3 | 1% |
| Medicine and Dentistry | 3 | 1% |
| Other | 17 | 8% |
| Unknown | 103 | 49% |