Feature selection algorithm for uncertain text classification
A novel algorithm called FSUNT was proposed based on HSIC, with the focus on the vagueness and uncertainty which might be taken into account during feature selection. For text data with fixed feature values and uncertain class labels, features were ranked according to the correlation between feature...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2009-01-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/74650143/ |
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| _version_ | 1841537670484852736 |
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| author | WANG Bo JIA Yan YANG Shu-qiang ZHOU Bin |
| author_facet | WANG Bo JIA Yan YANG Shu-qiang ZHOU Bin |
| author_sort | WANG Bo |
| collection | DOAJ |
| description | A novel algorithm called FSUNT was proposed based on HSIC, with the focus on the vagueness and uncertainty which might be taken into account during feature selection. For text data with fixed feature values and uncertain class labels, features were ranked according to the correlation between features and uncertain class labels evaluated by HSIC. The results of experimental evaluation on a variety of datasets show better performance and stability of FSUNT. |
| format | Article |
| id | doaj-art-ffb77ec62a0f446e93f1bff0e847e729 |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2009-01-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-ffb77ec62a0f446e93f1bff0e847e7292025-01-14T08:28:25ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2009-01-0130323874650143Feature selection algorithm for uncertain text classificationWANG BoJIA YanYANG Shu-qiangZHOU BinA novel algorithm called FSUNT was proposed based on HSIC, with the focus on the vagueness and uncertainty which might be taken into account during feature selection. For text data with fixed feature values and uncertain class labels, features were ranked according to the correlation between features and uncertain class labels evaluated by HSIC. The results of experimental evaluation on a variety of datasets show better performance and stability of FSUNT.http://www.joconline.com.cn/zh/article/74650143/feature selectionuncertain texttext classification |
| spellingShingle | WANG Bo JIA Yan YANG Shu-qiang ZHOU Bin Feature selection algorithm for uncertain text classification Tongxin xuebao feature selection uncertain text text classification |
| title | Feature selection algorithm for uncertain text classification |
| title_full | Feature selection algorithm for uncertain text classification |
| title_fullStr | Feature selection algorithm for uncertain text classification |
| title_full_unstemmed | Feature selection algorithm for uncertain text classification |
| title_short | Feature selection algorithm for uncertain text classification |
| title_sort | feature selection algorithm for uncertain text classification |
| topic | feature selection uncertain text text classification |
| url | http://www.joconline.com.cn/zh/article/74650143/ |
| work_keys_str_mv | AT wangbo featureselectionalgorithmforuncertaintextclassification AT jiayan featureselectionalgorithmforuncertaintextclassification AT yangshuqiang featureselectionalgorithmforuncertaintextclassification AT zhoubin featureselectionalgorithmforuncertaintextclassification |