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Mendeley readers
Chapter title |
LSTM Recurrent Neural Networks for Short Text and Sentiment Classification
|
---|---|
Chapter number | 50 |
Book title |
Artificial Intelligence and Soft Computing
|
Published by |
Springer, Cham, June 2017
|
DOI | 10.1007/978-3-319-59060-8_50 |
Book ISBNs |
978-3-31-959059-2, 978-3-31-959060-8
|
Authors |
Jakub Nowak, Ahmet Taspinar, Rafał Scherer |
Mendeley readers
The data shown below were compiled from readership statistics for 121 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 121 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Master | 22 | 18% |
Student > Bachelor | 17 | 14% |
Student > Ph. D. Student | 17 | 14% |
Researcher | 9 | 7% |
Lecturer | 8 | 7% |
Other | 8 | 7% |
Unknown | 40 | 33% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 53 | 44% |
Engineering | 12 | 10% |
Biochemistry, Genetics and Molecular Biology | 1 | <1% |
Linguistics | 1 | <1% |
Nursing and Health Professions | 1 | <1% |
Other | 6 | 5% |
Unknown | 47 | 39% |