Name
Abstract | ||
|---|---|---|
In a text categorization task, classification on some hierarchy of classes shows better results than the case without the hierarchy. In current environments where large amount of documents are divided into several subgroups with a hierarchy between them, it is more natural and appropriate to use a hierarchical classification method. We introduce a new internal node evaluation scheme which is very helpful to the development process of a hierarchical classifier. We also show that the hierarchical classifier construction method using this measure yields a classifier with better classification performance especially when applied to the classification task with large depth of hierarchy. |
Year | DOI | Venue |
|---|---|---|
2004 | 10.1007/978-3-540-30211-7_65 | IJCNLP |
Keywords | Field | DocType |
systematic construction,hierarchical classification method,classification task,svm-based text categorization,current environment,text categorization task,better result,better classification performance,hierarchical classifier construction method,hierarchical classifier,large amount,large depth,development process | Pattern recognition,Computer science,Tree (data structure),Support vector machine,Artificial intelligence,Hierarchical classifier,Construction method,Hierarchy,Classifier (linguistics),Text categorization,Machine learning | Conference |
Volume | ISSN | ISBN |
3248 | 0302-9743 | 3-540-24475-1 |
Citations | PageRank | References |
2 | 0.39 | 14 |
Authors | ||
3 | ||
Name | Order | Citations | PageRank |
|---|---|---|---|
| Yongwook Yoon | 1 | 53 | 3.41 |
| Changki Lee | 2 | 279 | 26.18 |
| Gary Geunbae Lee | 3 | 932 | 93.23 |