Incorporating self-organizing map with text mining techniques for text hierarchy generation
Incorporation of topic identification into SOM learning could be beneficial to text categorization task. Both lateral and hierarchical expansion during SOM learning were achieved according to criteria based on identified topics. The produced text hierarchies outperformed contemporary approaches in quality and performance on text categorization.
self-organizing map text mining hierarchy generation topic identification