Corpus ID: 15122710

Hybrid Approach Combining Machine Learning and a Rule-Based Expert System for Text Categorization

@inproceedings{VillenaRomn2011HybridAC,
  title={Hybrid Approach Combining Machine Learning and a Rule-Based Expert System for Text Categorization},
  author={Julio Villena-Rom{\'a}n and Sonia Collada-P{\'e}rez and Sara Lana-Serrano and J. Gonz{\'a}lez},
  booktitle={FLAIRS Conference},
  year={2011}
}
  • Julio Villena-Román, Sonia Collada-Pérez, +1 author J. González
  • Published in FLAIRS Conference 2011
  • Computer Science
  • This paper discusses a novel hybrid approach for text categorization that combines a machine learning algorithm, which provides a base model trained with a labeled corpus, with a rule-based expert system, which is used to improve the results provided by the previous classifier, by filtering false positives and dealing with false negatives. [...] Key Method We also describe an implementation based on k-Nearest Neighbor and a simple rule language to express lists of positive, negative and relevant (multiword…Expand Abstract
    34 Citations

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