You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
Identifying Extremism in Text Using Deep Learning
|
|---|---|
| Chapter number | 10 |
| Book title |
Development and Analysis of Deep Learning Architectures
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-31764-5_10 |
| Book ISBNs |
978-3-03-031763-8, 978-3-03-031764-5
|
| Authors |
Andrew Johnston, Angjelo Marku |
Mendeley readers
The data shown below were compiled from readership statistics for 18 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 18 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Researcher | 4 | 22% |
| Student > Master | 3 | 17% |
| Student > Ph. D. Student | 2 | 11% |
| Unspecified | 1 | 6% |
| Lecturer > Senior Lecturer | 1 | 6% |
| Other | 1 | 6% |
| Unknown | 6 | 33% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 5 | 28% |
| Unspecified | 1 | 6% |
| Environmental Science | 1 | 6% |
| Linguistics | 1 | 6% |
| Psychology | 1 | 6% |
| Other | 2 | 11% |
| Unknown | 7 | 39% |