ICDAR
2009
IEEE
13 years 10 months ago
2009
IEEE
The traditional weighting schemes used in text categorization for the vector space model (VSM) cannot exploit information intrinsic to texts obtained through on-line handwriting r...
IADIS
2009
13 years 10 months ago
2009
We explore techniques for detecting news articles containing invalid information, using the help of text categorization technology. The information that exists on the World Wide W...
ICMLC
2010
Springer
13 years 10 months ago
2010
Springer
: Patent classification is a large scale hierarchical text classification (LSHTC) task. Though comprehensive comparisons, either learning algorithms or feature selection strategies...
JIIS
2002
14 years 3 days ago
2002
In the traditional setting, text categorization is formulated as a concept learning problem where each instance is a single isolated document. However, this perspective is not appr...
COLING
2002
14 years 8 days ago
2002
This paper proposes a new approach for text categorization, based on a feature projection technique. In our approach, training data are represented as the projections of training ...
BMCBI
2005
14 years 10 days ago
2005
Background: In the context of the BioCreative competition, where training data were very sparse, we investigated two complementary tasks: 1) given a Swiss-Prot triplet, containing...
ISCI
2007
14 years 10 days ago
2007
The use of association patterns for text categorization has attracted great interest and a variety of useful methods have been developed. However, the key characteristics of patte...
ESWA
2007
14 years 11 days ago
2007
With the development of the web, large numbers of documents are available on the Internet. Digital libraries, news sources and inner data of companies surge more and more. Automat...
JIPS
2008
14 years 12 days ago
2008
: This research proposes a new strategy where documents are encoded into string vectors and modified version of KNN to be adaptable to string vectors for text categorization. Tradi...
IDA
2006
Springer
14 years 13 days ago
2006
Springer
Text categorization is a well-known task based essentially on statistical approaches using neural networks, Support Vector Machines and other machine learning algorithms. Texts are...