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Mendeley readers
Chapter title |
Investigating the Role of Emotion-Based Features in Author Gender Classification of Text
|
---|---|
Chapter number | 9 |
Book title |
Computational Linguistics and Intelligent Text Processing
|
Published in |
Lecture notes in computer science, April 2014
|
DOI | 10.1007/978-3-642-54903-8_9 |
Book ISBNs |
978-3-64-254902-1, 978-3-64-254903-8
|
Authors |
Calkin Suero Montero, Myriam Munezero, Tuomo Kakkonen |
Editors |
Alexander Gelbukh |
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 > Master | 5 | 23% |
Student > Ph. D. Student | 5 | 23% |
Researcher | 3 | 14% |
Student > Doctoral Student | 1 | 5% |
Lecturer | 1 | 5% |
Other | 2 | 9% |
Unknown | 5 | 23% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 7 | 32% |
Linguistics | 3 | 14% |
Philosophy | 1 | 5% |
Environmental Science | 1 | 5% |
Business, Management and Accounting | 1 | 5% |
Other | 2 | 9% |
Unknown | 7 | 32% |