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Mendeley readers
Chapter title |
Improving Short Text Classification Through Global Augmentation Methods
|
---|---|
Chapter number | 21 |
Book title |
Machine Learning and Knowledge Extraction
|
Published by |
Springer, Cham, August 2020
|
DOI | 10.1007/978-3-030-57321-8_21 |
Book ISBNs |
978-3-03-057320-1, 978-3-03-057321-8
|
Authors |
Vukosi Marivate, Tshephisho Sefara |
Mendeley readers
The data shown below were compiled from readership statistics for 112 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 112 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 16 | 14% |
Student > Ph. D. Student | 13 | 12% |
Student > Bachelor | 12 | 11% |
Researcher | 12 | 11% |
Other | 5 | 4% |
Other | 8 | 7% |
Unknown | 46 | 41% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 46 | 41% |
Engineering | 7 | 6% |
Physics and Astronomy | 2 | 2% |
Decision Sciences | 2 | 2% |
Social Sciences | 2 | 2% |
Other | 5 | 4% |
Unknown | 48 | 43% |