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 |
EMOVA: A Semi-supervised End-to-End Moving-Window Attentive Framework for Aspect Mining
|
---|---|
Chapter number | 61 |
Book title |
Advances in Knowledge Discovery and Data Mining
|
Published by |
Springer, Cham, May 2020
|
DOI | 10.1007/978-3-030-47436-2_61 |
Book ISBNs |
978-3-03-047435-5, 978-3-03-047436-2
|
Authors |
Ning Li, Chi-Yin Chow, Jia-Dong Zhang, Li, Ning, Chow, Chi-Yin, Zhang, Jia-Dong |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 7 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 2 | 29% |
Lecturer | 1 | 14% |
Librarian | 1 | 14% |
Professor | 1 | 14% |
Researcher | 1 | 14% |
Other | 0 | 0% |
Unknown | 1 | 14% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 3 | 43% |
Unspecified | 1 | 14% |
Nursing and Health Professions | 1 | 14% |
Biochemistry, Genetics and Molecular Biology | 1 | 14% |
Unknown | 1 | 14% |