BoosTexter: A Boosting-based System for Text Categorization

by: Robert E Schapire, Yoram Singer

Machine Learning, Vol. 39, No. 2/3. (2000), pp. 135-168.

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摘要

. This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting algorithms. We describe in detail an implementation, called BoosTexter, of the new boosting algorithms for text categorization tasks. We present results comparing the performance of BoosTexter and a number of other text-categorization algorithms on a variety of tasks. We conclude by describing the application of...

@article{citeulike:1877791, abstract = {. This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting algorithms. We describe in detail an implementation, called BoosTexter, of the new boosting algorithms for text categorization tasks. We present results comparing the performance of BoosTexter and a number of other text-categorization algorithms on a variety of tasks. We conclude by describing the application of...}, author = {Schapire, Robert E. and Singer, Yoram }, citeulike-article-id = {1877791}, journal = {Machine Learning}, keywords = {boosting, categorization, text}, number = {2/3}, pages = {135--168}, posted-at = {2007-11-07 14:55:28}, priority = {2}, title = {BoosTexter: A Boosting-based System for Text Categorization}, url = {http://citeseer.ist.psu.edu/141221.html}, volume = {39}, year = {2000} }

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TY - JOUR ID - citeulike:1877791 L3 - citeulike-article-id:1877791 N2 - . This work focuses on algorithms which learn from examples to perform multiclass text and speech categorization tasks. Our approach is based on a new and improved family of boosting algorithms. We describe in detail an implementation, called BoosTexter, of the new boosting algorithms for text categorization tasks. We present results comparing the performance of BoosTexter and a number of other text-categorization algorithms on a variety of tasks. We conclude by describing the application of... IS - 2/3 JF - Machine Learning EP - 168 TI - BoosTexter: A Boosting-based System for Text Categorization VL - 39 SP - 135 KW - boosting KW - categorization KW - text AU - Schapire, Robert AU - Singer, Yoram PY - 2000/// UR - http://citeseer.ist.psu.edu/141221.html ER -

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