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http://dspace.mediu.edu.my:8181/xmlui/handle/1721.1/7241| Title: | Improving Multiclass Text Classification with the Support Vector Machine |
| Keywords: | AI text classification support vector machine multiclass classification |
| Issue Date: | 9-Oct-2013 |
| Description: | We compare Naive Bayes and Support Vector Machines on the task of multiclass text classification. Using a variety of approaches to combine the underlying binary classifiers, we find that SVMs substantially outperform Naive Bayes. We present full multiclass results on two well-known text data sets, including the lowest error to date on both data sets. We develop a new indicator of binary performance to show that the SVM's lower multiclass error is a result of its improved binary performance. Furthermore, we demonstrate and explore the surprising result that one-vs-all classification performs favorably compared to other approaches even though it has no error-correcting properties. |
| URI: | http://koha.mediu.edu.my:8181/xmlui/handle/1721 |
| Other Identifiers: | AIM-2001-026 CBCL-210 http://hdl.handle.net/1721.1/7241 |
| Appears in Collections: | MIT Items |
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