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Mendeley readers
Chapter title |
A Web Search Enhanced Feature Extraction Method for Aspect-Based Sentiment Analysis for Turkish Informal Texts
|
---|---|
Chapter number | 15 |
Book title |
Big Data Analytics and Knowledge Discovery
|
Published by |
Springer, Cham, September 2016
|
DOI | 10.1007/978-3-319-43946-4_15 |
Book ISBNs |
978-3-31-943945-7, 978-3-31-943946-4
|
Authors |
Batuhan Kama, Murat Ozturk, Pinar Karagoz, Ismail Hakki Toroslu, Ozcan Ozay, Kama, Batuhan, Ozturk, Murat, Karagoz, Pinar, Toroslu, Ismail Hakki, Ozay, Ozcan |
Mendeley readers
The data shown below were compiled from readership statistics for 12 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 12 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Lecturer | 2 | 17% |
Student > Master | 2 | 17% |
Researcher | 2 | 17% |
Student > Ph. D. Student | 1 | 8% |
Lecturer > Senior Lecturer | 1 | 8% |
Other | 2 | 17% |
Unknown | 2 | 17% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 5 | 42% |
Environmental Science | 1 | 8% |
Linguistics | 1 | 8% |
Economics, Econometrics and Finance | 1 | 8% |
Chemistry | 1 | 8% |
Other | 1 | 8% |
Unknown | 2 | 17% |