Name
Abstract | ||
|---|---|---|
Two approaches to text classification based on summarization technique are proposed: in the first approach, the heuristic rules of auto-summarization are used to select and weight features for every category, and texts are classified by these features; in the second approach, the text summarization is directly used for classification instead of the original text. Experimental results show that the combination of summarization technology and classification technology can not only reduce the time of feature selection and classification but also improve the performance of text classification. |
Year | DOI | Venue |
|---|---|---|
2007 | 10.1109/SKG.2007.68 | SKG |
Keywords | Field | DocType |
chinese text classification,original text,heuristic rule,classification technology,summarization technique,text classification,weight feature,feature extraction,auto-summarization,summarization technology,classification,natural language processing,heuristic rules,feature selection,abstracting,text analysis,text summarization | Text graph,Data mining,Automatic summarization,Multi-document summarization,Heuristic,Text mining,Information retrieval,Feature selection,Computer science,Feature extraction | Conference |
ISBN | Citations | PageRank |
978-0-7695-3007-9 | 1 | 0.37 |
References | Authors | |
4 | 3 | |
Name | Order | Citations | PageRank |
|---|---|---|---|
| Xiao-yu Jiang | 1 | 49 | 3.36 |
| Xiao-zhong Fan | 2 | 70 | 8.22 |
| Kang Chen | 3 | 10 | 4.36 |