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Mendeley readers
Chapter title |
Emotion Detection Framework for Twitter Data Using Supervised Classifiers
|
---|---|
Chapter number | 47 |
Book title |
Data Engineering and Communication Technology
|
Published by |
Springer, Singapore, January 2020
|
DOI | 10.1007/978-981-15-1097-7_47 |
Book ISBNs |
978-9-81-151096-0, 978-9-81-151097-7
|
Authors |
Matla Suhasini, Badugu Srinivasu |
Mendeley readers
The data shown below were compiled from readership statistics for 44 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 44 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 6 | 14% |
Student > Ph. D. Student | 5 | 11% |
Student > Bachelor | 4 | 9% |
Professor > Associate Professor | 2 | 5% |
Researcher | 2 | 5% |
Other | 3 | 7% |
Unknown | 22 | 50% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 14 | 32% |
Engineering | 4 | 9% |
Physics and Astronomy | 1 | 2% |
Unspecified | 1 | 2% |
Unknown | 24 | 55% |