Abstract
In this paper time characteristics of dynamic multi-documents summarization has been analyzed by the clustering idea in topic detection technology. From the change of time information threshold value, different multi-document clustering and multi-documents summarization for the dynamic Web information data stream can be generated. By compared with different threshold values, the importance of time information in a dynamic multi-document summarization is understanded. Experimental result means that you can counterpoise the output of TDT by adjusting α value and generate better quality dynamic multi-document summarization.
| Original language | English |
|---|---|
| Pages (from-to) | 1767-1770 |
| Number of pages | 4 |
| Journal | Harbin Gongye Daxue Xuebao/Journal of Harbin Institute of Technology |
| Volume | 42 |
| Issue number | 11 |
| State | Published - Nov 2010 |
| Externally published | Yes |
Keywords
- Dynamic threshold
- Multi-document summarization
- Temporal properties
- Topic detection
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