Multi-labeled Chinese Text Categorization Based on the Boosting Algorithms

摘要

This paper proposes approaches for multi-labeled text categorization based on the Boosting Algorithms.We discussed the performances of various feature selection methods for multi-labeled TC. Besides the multi-labeled categorization, we also make efforts on ranking the labels assigned to the texts.