Sciweavers

124 search results - page 5 / 25
» A feature mining based approach for the classification of te...
Sort
View
ICDIM
2009
IEEE
13 years 5 months ago
Text classification based on limited bibliographic metadata
In this paper, we introduce a method for categorizing digital items according to their topic, only relying on the document's metadata, such as author name and title informati...
Kerstin Denecke, Thomas Risse, Thomas Baehr
AUSDM
2006
Springer
144views Data Mining» more  AUSDM 2006»
13 years 11 months ago
A Characterization of Wordnet Features in Boolean Models For Text Classification
Supervised text classification is the task of automatically assigning a category label to a previously unlabeled text document. We start with a collection of pre-labeled examples ...
Trevor N. Mansuy, Robert J. Hilderman
SIGIR
2008
ACM
13 years 7 months ago
Deep classification in large-scale text hierarchies
Most classification algorithms are best at categorizing the Web documents into a few categories, such as the top two levels in the Open Directory Project. Such a classification me...
Gui-Rong Xue, Dikan Xing, Qiang Yang, Yong Yu
LREC
2010
138views Education» more  LREC 2010»
13 years 9 months ago
Evaluating a Text Mining Based Educational Search Portal
In this paper, we present the main features of a text mining based search engine for the UK Educational Evidence Portal available at the UK National Centre for Text Mining (NaCTeM...
Sophia Ananiadou, John McNaught, James Thomas, Mar...
KDD
2002
ACM
147views Data Mining» more  KDD 2002»
14 years 8 months ago
A parallel learning algorithm for text classification
Text classification is the process of classifying documents into predefined categories based on their content. Existing supervised learning algorithms to automatically classify te...
Canasai Kruengkrai, Chuleerat Jaruskulchai