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 |
Transfer Learning for Text Mining
|
|---|---|
| Chapter number | 7 |
| Book title |
Mining Text Data
|
| Published by |
Springer, Boston, MA, January 2012
|
| DOI | 10.1007/978-1-4614-3223-4_7 |
| Book ISBNs |
978-1-4614-3222-7, 978-1-4614-3223-4
|
| Authors |
Weike Pan, Erheng Zhong, Qiang Yang |
Mendeley readers
The data shown below were compiled from readership statistics for 70 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Brazil | 2 | 3% |
| Germany | 1 | 1% |
| Portugal | 1 | 1% |
| China | 1 | 1% |
| Spain | 1 | 1% |
| Unknown | 64 | 91% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 20% |
| Student > Master | 14 | 20% |
| Other | 8 | 11% |
| Student > Bachelor | 4 | 6% |
| Researcher | 4 | 6% |
| Other | 15 | 21% |
| Unknown | 11 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 31 | 44% |
| Engineering | 6 | 9% |
| Business, Management and Accounting | 5 | 7% |
| Social Sciences | 4 | 6% |
| Linguistics | 2 | 3% |
| Other | 8 | 11% |
| Unknown | 14 | 20% |