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Mendeley readers
Chapter title |
Opinion Mining to Detect Irony in Twitter Messages in Spanish
|
---|---|
Chapter number | 49 |
Book title |
14th International Conference on Soft Computing Models in Industrial and Environmental Applications (SOCO 2019)
|
Published by |
Springer, Cham, May 2019
|
DOI | 10.1007/978-3-030-20055-8_49 |
Book ISBNs |
978-3-03-020054-1, 978-3-03-020055-8
|
Authors |
Daniela E. Sanjinés, Vivian F. López, Ana B. Gil, María N. Moreno, Sanjinés, Daniela E., López, Vivian F., Gil, Ana B., Moreno, María N. |
Mendeley readers
The data shown below were compiled from readership statistics for 13 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 13 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Professor > Associate Professor | 4 | 31% |
Student > Ph. D. Student | 2 | 15% |
Professor | 1 | 8% |
Student > Master | 1 | 8% |
Lecturer | 1 | 8% |
Other | 0 | 0% |
Unknown | 4 | 31% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 23% |
Engineering | 3 | 23% |
Social Sciences | 1 | 8% |
Unknown | 6 | 46% |