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Mendeley readers
Chapter title |
Estimation of Emotion Type and Intensity in Japanese Tweets Using Multi-task Deep Learning
|
---|---|
Chapter number | 30 |
Book title |
Web, Artificial Intelligence and Network Applications
|
Published by |
Springer, Cham, March 2019
|
DOI | 10.1007/978-3-030-15035-8_30 |
Book ISBNs |
978-3-03-015034-1, 978-3-03-015035-8
|
Authors |
Kazuki Sato, Tomonobu Ozaki, Sato, Kazuki, Ozaki, Tomonobu |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor | 1 | 14% |
Student > Bachelor | 1 | 14% |
Researcher | 1 | 14% |
Student > Doctoral Student | 1 | 14% |
Unknown | 3 | 43% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 29% |
Unknown | 5 | 71% |