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| Content Provider | IEEE Xplore Digital Library |
|---|---|
| Author | Correa, R.F. Ludermir, T.B. |
| Copyright Year | 2008 |
| Description | Author affiliation: Center of Inf., Fed. Univ. of Pernambuco, Recife (Correa, R.F.; Ludermir, T.B.) |
| Abstract | This paper presents and evaluates a new version of the Semantic Mapping method applied to the construction of a hybrid document organization system based on Self-Organizing Maps. The hybrid system uses reduced document vectors generated by Semantic Mapping to training the SOM map, thus reducing the training time without compromising the quality of the document map. We test the hybrid system with different versions of Semantic Mapping and the correspondent SOM system in document organization of the Reuters-21758 v1.0 and 20 Newsgroup collections. The performance of the systems was measured in terms of text categorization effectiveness on test set and training time. The experimental results show that new version of Semantic Mapping is superior to previous one. |
| Starting Page | 284 |
| Ending Page | 289 |
| File Size | 150768 |
| Page Count | 6 |
| File Format | |
| ISBN | 9780769533261 |
| DOI | 10.1109/HIS.2008.107 |
| Language | English |
| Publisher | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Publisher Date | 2008-09-10 |
| Publisher Place | Spain |
| Access Restriction | Subscribed |
| Rights Holder | Institute of Electrical and Electronics Engineers, Inc. (IEEE) |
| Subject Keyword | Training Accuracy Semantic Mapping Self-Organizing Map Text categorization Organizations Feature extraction Complexity theory Hybrid Intelligent System Document Organization Construction industry |
| Content Type | Text |
| Resource Type | Article |
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