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» Combining feature selectors for text classification
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ICDIM
2009
IEEE
13 years 3 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
ICNC
2005
Springer
13 years 10 months ago
An Improved Method of Feature Selection Based on Concept Attributes in Text Classification
The feature selection and weighting are two important parts of automatic text classification. In this paper we give a new method based on concept attributes. We use the DEF Terms o...
Shasha Liao, Minghu Jiang
ICML
1999
IEEE
13 years 9 months ago
Feature Engineering for Text Classification
Most research in text classification to date has used a “bag of words” representation in which each feature corresponds to a single word. This paper examines some alternative ...
Sam Scott, Stan Matwin
CSJM
2006
124views more  CSJM 2006»
13 years 5 months ago
Text Classification Using Word-Based PPM Models
Text classification is one of the most actual among the natural language processing problems. In this paper the application of word-based PPM (Prediction by Partial Matching) mode...
Victoria Bobicev
ICDAR
2007
IEEE
13 years 9 months ago
WEB Image Classification Based on the Fusion of Image and Text Classifiers
This paper presents a novel method for the classification of images that combines information extracted from the images and contextual information. The main hypothesis is that con...
Pedro R. Kalva, Fabrício Enembreck, Alessan...