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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| _version_ | 1841539705462587392 |
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| author | Jun-xia CHENG Zhi-tang LI Ming-guang ZOU Jin XIAO |
| author_facet | Jun-xia CHENG Zhi-tang LI Ming-guang ZOU Jin XIAO |
| author_sort | Jun-xia CHENG |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-0b37c220207943828fd3a0e8a9e6637c |
| institution | Kabale University |
| issn | 1000-436X |
| language | zho |
| publishDate | 2013-09-01 |
| publisher | Editorial Department of Journal on Communications |
| record_format | Article |
| series | Tongxin xuebao |
| spelling | doaj-art-0b37c220207943828fd3a0e8a9e6637c2025-01-14T06:42:13ZzhoEditorial Department of Journal on CommunicationsTongxin xuebao1000-436X2013-09-0134747859678096Novel topic detection method for microblog based on SVM filtrationJun-xia CHENGZhi-tang LIMing-guang ZOUJin XIAOA 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.http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.015/topic detectingcharacteristic vectorSVM |
| spellingShingle | Jun-xia CHENG Zhi-tang LI Ming-guang ZOU Jin XIAO Novel topic detection method for microblog based on SVM filtration Tongxin xuebao topic detecting characteristic vector SVM |
| title | Novel topic detection method for microblog based on SVM filtration |
| title_full | Novel topic detection method for microblog based on SVM filtration |
| title_fullStr | Novel topic detection method for microblog based on SVM filtration |
| title_full_unstemmed | Novel topic detection method for microblog based on SVM filtration |
| title_short | Novel topic detection method for microblog based on SVM filtration |
| title_sort | novel topic detection method for microblog based on svm filtration |
| topic | topic detecting characteristic vector SVM |
| url | http://www.joconline.com.cn/zh/article/doi/10.3969/j.issn.1000-436x.2013.Z2.015/ |
| work_keys_str_mv | AT junxiacheng noveltopicdetectionmethodformicroblogbasedonsvmfiltration AT zhitangli noveltopicdetectionmethodformicroblogbasedonsvmfiltration AT mingguangzou noveltopicdetectionmethodformicroblogbasedonsvmfiltration AT jinxiao noveltopicdetectionmethodformicroblogbasedonsvmfiltration |