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Mendeley readers
Chapter title |
Twitter Sentiment Detection via Ensemble Classification Using Averaged Confidence Scores
|
---|---|
Chapter number | 81 |
Book title |
Advances in Information Retrieval
|
Published by |
Springer, Cham, March 2015
|
DOI | 10.1007/978-3-319-16354-3_81 |
Book ISBNs |
978-3-31-916353-6, 978-3-31-916354-3
|
Authors |
Matthias Hagen, Martin Potthast, Michel Büchner, Benno Stein, Hagen, Matthias, Potthast, Martin, Büchner, Michel, Stein, Benno |
Mendeley readers
The data shown below were compiled from readership statistics for 43 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
China | 1 | 2% |
Unknown | 42 | 98% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 15 | 35% |
Student > Master | 12 | 28% |
Student > Postgraduate | 3 | 7% |
Student > Bachelor | 2 | 5% |
Researcher | 2 | 5% |
Other | 5 | 12% |
Unknown | 4 | 9% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 30 | 70% |
Engineering | 2 | 5% |
Mathematics | 1 | 2% |
Arts and Humanities | 1 | 2% |
Physics and Astronomy | 1 | 2% |
Other | 1 | 2% |
Unknown | 7 | 16% |