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 |
Predicting Emotion Labels for Chinese Microblog Texts
|
---|---|
Chapter number | 7 |
Book title |
Advances in Social Media Analysis
|
Published by |
Springer International Publishing, June 2015
|
DOI | 10.1007/978-3-319-18458-6_7 |
Book ISBNs |
978-3-31-918457-9, 978-3-31-918458-6
|
Authors |
Zheng Yuan, Matthew Purver |
Editors |
Mohamed Medhat Gaber, Mihaela Cocea, Nirmalie Wiratunga, Ayse Goker |
Mendeley readers
The data shown below were compiled from readership statistics for 30 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Sweden | 1 | 3% |
Portugal | 1 | 3% |
China | 1 | 3% |
Brazil | 1 | 3% |
Unknown | 26 | 87% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Ph. D. Student | 7 | 23% |
Researcher | 3 | 10% |
Professor > Associate Professor | 3 | 10% |
Student > Master | 3 | 10% |
Student > Bachelor | 2 | 7% |
Other | 8 | 27% |
Unknown | 4 | 13% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 21 | 70% |
Social Sciences | 2 | 7% |
Agricultural and Biological Sciences | 1 | 3% |
Economics, Econometrics and Finance | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 0 | 0% |
Unknown | 4 | 13% |