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Mendeley readers
| Chapter title |
Comparing Deep Neural Networks to Traditional Models for Sentiment Analysis in Turkish Language
|
|---|---|
| Chapter number | 12 |
| Book title |
Deep Learning-Based Approaches for Sentiment Analysis
|
| Published by |
Springer, Singapore, January 2020
|
| DOI | 10.1007/978-981-15-1216-2_12 |
| Book ISBNs |
978-9-81-151215-5, 978-9-81-151216-2
|
| Authors |
Savaş Yildirim, Yildirim, Savaş |
Mendeley readers
The data shown below were compiled from readership statistics for 15 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 15 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Lecturer | 2 | 13% |
| Researcher | 2 | 13% |
| Professor > Associate Professor | 2 | 13% |
| Student > Master | 2 | 13% |
| Student > Bachelor | 1 | 7% |
| Other | 2 | 13% |
| Unknown | 4 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 7 | 47% |
| Linguistics | 1 | 7% |
| Social Sciences | 1 | 7% |
| Engineering | 1 | 7% |
| Unknown | 5 | 33% |