Novel topic detection method for microblog based on SVM filtration
A detection method based on SVM filtration was proposed.The method uses text feature as imported vectors to filtrate microblog news,reducing the amount of calculation greatly.A single-pass clustering algorithm based on the improvement of high-frequency words sorting was proposed,which can detect iso...
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| Main Authors: | , , , |
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| Format: | Article |
| Language: | zho |
| Published: |
Editorial Department of Journal on Communications
2013-09-01
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| Series: | Tongxin xuebao |
| Subjects: | |
| Online Access: | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.015/ |
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| Summary: | A detection method based on SVM filtration was proposed.The method uses text feature as imported vectors to filtrate microblog news,reducing the amount of calculation greatly.A single-pass clustering algorithm based on the improvement of high-frequency words sorting was proposed,which can detect isolated points commendably.Experimental results show that the method can detect news topics from massive microblog data efficiently. |
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| ISSN: | 1000-436X |