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Mendeley readers
Chapter title |
Transfer Learning Using Twitter Data for Improving Sentiment Classification of Turkish Political News
|
---|---|
Chapter number | 14 |
Book title |
Information Sciences and Systems 2013
|
Published by |
Springer, Cham, January 2013
|
DOI | 10.1007/978-3-319-01604-7_14 |
Book ISBNs |
978-3-31-901603-0, 978-3-31-901604-7
|
Authors |
Mesut Kaya, Guven Fidan, I Hakkı Toroslu, Kaya, Mesut, Fidan, Guven, Toroslu, I Hakkı |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 7% |
Unknown | 13 | 93% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 5 | 36% |
Student > Ph. D. Student | 3 | 21% |
Professor | 2 | 14% |
Student > Master | 1 | 7% |
Professor > Associate Professor | 1 | 7% |
Other | 0 | 0% |
Unknown | 2 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 9 | 64% |
Arts and Humanities | 1 | 7% |
Linguistics | 1 | 7% |
Economics, Econometrics and Finance | 1 | 7% |
Unknown | 2 | 14% |