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» Text classification from positive and unlabeled documents
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EUROGP
2005
Springer
156views Optimization» more  EUROGP 2005»
14 years 2 months ago
Evolving Rules for Document Classification
We describe a novel method for using Genetic Programming to create compact classification rules based on combinations of N-Grams (character strings). Genetic programs acquire fitne...
Laurence Hirsch, Masoud Saeedi, Robin Hirsch
AUSDM
2006
Springer
112views Data Mining» more  AUSDM 2006»
14 years 10 days ago
The Scamseek Project - Text Mining for Financial Scams on the Internet
The Scamseek project, as commissioned by ASIC has the principal objective of building an industrially viable system that retrieves potential scam candidate documents from the Inte...
Jon Patrick
ICADL
2007
Springer
147views Education» more  ICADL 2007»
14 years 2 months ago
Feature Reinforcement Approach to Poly-lingual Text Categorization
With the rapid emergence and proliferation of Internet and the trend of globalization, a tremendous amount of textual documents written in different languages are electronically ac...
Chih-Ping Wei, Huihua Shi, Christopher C. Yang
FLAIRS
2006
13 years 10 months ago
Evaluating WordNet Features in Text Classification Models
Incorporating semantic features from the WordNet lexical database is among one of the many approaches that have been tried to improve the predictive performance of text classifica...
Trevor N. Mansuy, Robert J. Hilderman
ERCIMDL
2006
Springer
204views Education» more  ERCIMDL 2006»
14 years 8 days ago
Comparing and Combining Two Approaches to Automated Subject Classification of Text
A machine-learning and a string-matching approach to automated subject classification of text were compared, as to their performance, advantages and downsides. The former approach ...
Koraljka Golub, Anders Ardö, Dunja Mladenic, ...