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X Demographics
Mendeley readers
Chapter title |
Sarcasm Identification on Twitter: A Machine Learning Approach
|
---|---|
Chapter number | 37 |
Book title |
Artificial Intelligence Trends in Intelligent Systems
|
Published by |
Springer, Cham, April 2017
|
DOI | 10.1007/978-3-319-57261-1_37 |
Book ISBNs |
978-3-31-957260-4, 978-3-31-957261-1
|
Authors |
Aytuğ Onan, Onan, Aytuğ |
X Demographics
The data shown below were collected from the profile of 1 X user 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 26 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 26 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 4 | 15% |
Student > Master | 4 | 15% |
Researcher | 2 | 8% |
Lecturer | 1 | 4% |
Librarian | 1 | 4% |
Other | 3 | 12% |
Unknown | 11 | 42% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 19% |
Engineering | 3 | 12% |
Medicine and Dentistry | 2 | 8% |
Nursing and Health Professions | 1 | 4% |
Environmental Science | 1 | 4% |
Other | 1 | 4% |
Unknown | 13 | 50% |