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Deep Classifier for Large Scale Hierarchical Text Classification
| Content Provider | Semantic Scholar |
|---|---|
| Author | Wang, Dingquan Zhang, Weinan Xue, Gui-Rong Yu, Yong Hun |
| Copyright Year | 2009 |
| Abstract | In this competition, we refined a novel algorithm for classification on large scale documents with deep category structure based on a two-stage strategy known as the deep-classifier [1]. The basic idea of deep-classifier is to take advantage of the better performance of kNN relevance search on large scale categories and the higher precision of the Naive Bayes for multi-class classification. As a result, it achieved improvement on both performance and efficiency in our experiment. |
| File Format | PDF HTM / HTML |
| Alternate Webpage(s) | http://www.cs.jhu.edu/~wdd/pub/Large%20Scale%20Hierarchical%20Text%20Classification.pdf |
| Alternate Webpage(s) | http://wnzhang.net/papers/lshtc.pdf |
| Language | English |
| Access Restriction | Open |
| Content Type | Text |
| Resource Type | Article |