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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% |