You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
Chapter title |
Detecting Twitter Users’ Opinions of Arabic Comments During Various Time Episodes via Deep Neural Network
|
---|---|
Chapter number | 22 |
Book title |
Proceedings of the International Conference on Advanced Intelligent Systems and Informatics 2017
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-64861-3_22 |
Book ISBNs |
978-3-31-964860-6, 978-3-31-964861-3
|
Authors |
Naglaa Abdelhade, Taysir Hassan A. Soliman, Hosny M. Ibrahim |
Mendeley readers
The data shown below were compiled from readership statistics for 31 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 31 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 10 | 32% |
Student > Master | 3 | 10% |
Researcher | 3 | 10% |
Professor | 1 | 3% |
Librarian | 1 | 3% |
Other | 2 | 6% |
Unknown | 11 | 35% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 12 | 39% |
Environmental Science | 2 | 6% |
Engineering | 2 | 6% |
Linguistics | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 2 | 6% |
Unknown | 11 | 35% |