F. Sebastiani. ACM Computing Surveys, 34 (1):
1--47(2002)
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...
%0 Journal Article
%1 citeulike:944913
%A Sebastiani, Fabrizio
%D 2002
%J ACM Computing Surveys
%K ann, categorization, classification, learning, machine, nbc, rocchio, survey, svm, text
%N 1
%P 1--47
%T Machine learning in automated text categorization
%U http://citeseer.ist.psu.edu/518620.html
%V 34
%X 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...},
added-at = {2008-06-17T16:01:02.000+0200},
author = {Sebastiani, Fabrizio},
biburl = {https://www.bibsonomy.org/bibtex/26f20e9c88ff79f653566789fce940c98/pprett},
citeulike-article-id = {944913},
interhash = {d945d9218673dad37dc2a06cbf9e554c},
intrahash = {6f20e9c88ff79f653566789fce940c98},
journal = {ACM Computing Surveys},
keywords = {ann, categorization, classification, learning, machine, nbc, rocchio, survey, svm, text},
number = 1,
pages = {1--47},
posted-at = {2007-11-17 14:47:10},
priority = {0},
timestamp = {2008-06-17T16:01:45.000+0200},
title = {Machine learning in automated text categorization},
url = {http://citeseer.ist.psu.edu/518620.html},
volume = 34,
year = 2002
}