Blocking reduction strategies in hierarchical text classification

• Main Authors: LIM, Ee Peng, SUN, Aixin, NG, Wee-Keong, SRIVASTAVA, Jaideep
• Format: text
• Language: English
• Published: Institutional Knowledge at Singapore Management University 2004
• Subjects: Data mining; text mining; classification; Databases and Information Systems; Numerical Analysis and Scientific Computing
• Online Access: https://ink.library.smu.edu.sg/sis_research/124; https://ink.library.smu.edu.sg/context/sis_research/article/1123/viewcontent/Blocking_reduction_strategies_in_hierarchical_text_classification.pdf
• Institution: Singapore Management University

One common approach in hierarchical text classification involves associating classifiers with nodes in the category tree and classifying text documents in a top-down manner. Classification methods using this top-down approach can scale well and cope with changes to the category trees. However, all t...