Cross-domain classification: Trade-off between complexity and accuracy

@article{Lex2009CrossdomainCT,
  title={Cross-domain classification: Trade-off between complexity and accuracy},
  author={Elisabeth Lex and Christin Seifert and Michael Granitzer and Andreas Juffinger},
  journal={2009 International Conference for Internet Technology and Secured Transactions, (ICITST)},
  year={2009},
  pages={1-6}
}
Text classification is one of the core applications in data mining due to the huge amount of not categorized digital data available. Training a text classifier generates a model that reflects the characteristics of the domain. However, if no training data is available, labeled data from a related but different domain might be exploited to perform cross-domain classification. In our work, we aim to accurately classify unlabeled blogs into commonly agreed newspaper categories using labeled data… CONTINUE READING
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