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| Chapter title |
Meme Classification Using Textual and Visual Features
|
|---|---|
| Chapter number | 87 |
| Book title |
Computational Vision and Bio Inspired Computing
|
| Published by |
Springer, Cham, January 2018
|
| DOI | 10.1007/978-3-319-71767-8_87 |
| Book ISBNs |
978-3-31-971766-1, 978-3-31-971767-8
|
| Authors |
E. S. Smitha, S. Sendhilkumar, G. S. Mahalaksmi, Smitha, E. S., Sendhilkumar, S., Mahalaksmi, G. S. |
Twitter Demographics
The data shown below were collected from the profile of 1 tweeter who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 1 | 100% |
Demographic breakdown
| Type | Count | As % |
|---|---|---|
| Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 22 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 22 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 5 | 23% |
| Student > Doctoral Student | 2 | 9% |
| Student > Ph. D. Student | 2 | 9% |
| Professor | 1 | 5% |
| Student > Master | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 9 | 41% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 18% |
| Business, Management and Accounting | 2 | 9% |
| Social Sciences | 2 | 9% |
| Decision Sciences | 2 | 9% |
| Agricultural and Biological Sciences | 1 | 5% |
| Other | 2 | 9% |
| Unknown | 9 | 41% |