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Mendeley readers
Chapter title |
KIDER: Knowledge-Infused Document Embedding Representation for Text Categorization
|
---|---|
Chapter number | 2 |
Book title |
Trends in Artificial Intelligence Theory and Applications. Artificial Intelligence Practices
|
Published by |
Springer, Cham, September 2020
|
DOI | 10.1007/978-3-030-55789-8_2 |
Book ISBNs |
978-3-03-055788-1, 978-3-03-055789-8
|
Authors |
Yu-Ting Chen, Zheng-Wen Lin, Yung-Chun Chang, Wen-Lian Hsu, Chen, Yu-Ting, Lin, Zheng-Wen, Chang, Yung-Chun, Hsu, Wen-Lian |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 4 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 2 | 50% |
Researcher | 1 | 25% |
Student > Master | 1 | 25% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 2 | 50% |
Mathematics | 1 | 25% |
Engineering | 1 | 25% |