Hierarchical Text Classification and Evaluation

@inproceedings{citeulike:2802804, abstract = {Hierarchical Classification refers to assigning of one or more suitable categories from a hierarchical category space to a document. While previous work in hierarchical classification focused on virtual category trees where documents are assigned only to the leaf categories, we propose a topdown level-based classification method that can classify documents to both leaf and internal categories. As the standard performance measures assume independence between categories, they have not considered...}, author = {Sun, Aixin and Lim, Ee P. }, booktitle = {ICDM}, citeulike-article-id = {2802804}, keywords = {classification, hierarchical, machine\_learning, nlp}, pages = {521--528}, posted-at = {2008-05-16 00:18:23}, priority = {4}, title = {Hierarchical Text Classification and Evaluation}, url = {http://citeseer.ist.psu.edu/sun01hierarchical.html}, year = {2001} }

TY - CONF ID - citeulike:2802804 L3 - citeulike-article-id:2802804 TI - Hierarchical Text Classification and Evaluation T2 - ICDM SP - 521 EP - 528 N2 - Hierarchical Classification refers to assigning of one or more suitable categories from a hierarchical category space to a document. While previous work in hierarchical classification focused on virtual category trees where documents are assigned only to the leaf categories, we propose a topdown level-based classification method that can classify documents to both leaf and internal categories. As the standard performance measures assume independence between categories, they have not considered... KW - classification KW - hierarchical KW - machine_learning KW - nlp AU - Sun, Aixin AU - Lim, Ee PY - 2001/// UR - http://citeseer.ist.psu.edu/sun01hierarchical.html ER -