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Mendeley readers
Chapter title |
Twitter Feature Selection and Classification Using Support Vector Machine for Aspect-Based Sentiment Analysis
|
---|---|
Chapter number | 23 |
Book title |
Trends in Applied Knowledge-Based Systems and Data Science
|
Published in |
Lecture notes in computer science, July 2016
|
DOI | 10.1007/978-3-319-42007-3_23 |
Book ISBNs |
978-3-31-942006-6, 978-3-31-942007-3
|
Authors |
Nurulhuda Zainuddin, Ali Selamat, Roliana Ibrahim |
Editors |
Hamido Fujita, Moonis Ali, Ali Selamat, Jun Sasaki, Masaki Kurematsu |
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 > Ph. D. Student | 4 | 18% |
Lecturer > Senior Lecturer | 2 | 9% |
Student > Doctoral Student | 2 | 9% |
Student > Master | 2 | 9% |
Other | 1 | 5% |
Other | 4 | 18% |
Unknown | 7 | 32% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 13 | 59% |
Environmental Science | 1 | 5% |
Unknown | 8 | 36% |