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 the Political Sentiment of Web Log Posts Using Supervised Machine Learning Techniques Coupled with Feature Selection
|
|---|---|
| Chapter number | 11 |
| Book title |
Advances in Web Mining and Web Usage Analysis
|
| Published by |
Springer, Berlin, Heidelberg, August 2006
|
| DOI | 10.1007/978-3-540-77485-3_11 |
| Book ISBNs |
978-3-54-077484-6, 978-3-54-077485-3
|
| Authors |
Kathleen T. Durant, Michael D. Smith |
Mendeley readers
The data shown below were compiled from readership statistics for 56 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| United States | 3 | 5% |
| Portugal | 1 | 2% |
| Mexico | 1 | 2% |
| Sri Lanka | 1 | 2% |
| Russia | 1 | 2% |
| China | 1 | 2% |
| Unknown | 48 | 86% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 14 | 25% |
| Researcher | 9 | 16% |
| Student > Master | 6 | 11% |
| Student > Bachelor | 4 | 7% |
| Other | 3 | 5% |
| Other | 7 | 13% |
| Unknown | 13 | 23% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 29 | 52% |
| Social Sciences | 4 | 7% |
| Economics, Econometrics and Finance | 2 | 4% |
| Biochemistry, Genetics and Molecular Biology | 1 | 2% |
| Linguistics | 1 | 2% |
| Other | 4 | 7% |
| Unknown | 15 | 27% |