Machine learning in automated text categorization

by: Fabrizio Sebastiani

ACM Computing Surveys, Vol. 34, No. 1. (2002), pp. 1-47.

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Abstract

The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of preclassified documents, the characteristics of the...

@article{citeulike:944913, abstract = {The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of preclassified documents, the characteristics of the...}, author = {Sebastiani, Fabrizio }, citeulike-article-id = {944913}, journal = {ACM Computing Surveys}, keywords = {atc, c138, classical, survey, y2002}, number = {1}, pages = {1--47}, posted-at = {2006-12-12 02:29:40}, priority = {3}, title = {Machine learning in automated text categorization}, url = {http://citeseer.ist.psu.edu/518620.html}, volume = {34}, year = {2002} }

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TY - JOUR ID - citeulike:944913 L3 - citeulike-article-id:944913 TI - Machine learning in automated text categorization JF - ACM Computing Surveys VL - 34 IS - 1 SP - 1 EP - 47 N2 - The automated categorization (or classification) of texts into predefined categories has witnessed a booming interest in the last ten years, due to the increased availability of documents in digital form and the ensuing need to organize them. In the research community the dominant approach to this problem is based on machine learning techniques: a general inductive process automatically builds a classifier by learning, from a set of preclassified documents, the characteristics of the... KW - atc KW - c138 KW - classical KW - survey KW - y2002 AU - Sebastiani, Fabrizio PY - 2002/// UR - http://citeseer.ist.psu.edu/518620.html ER -

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