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 Jos{\'e} Carlos Gonz{\'a}lez},
  booktitle={FLAIRS Conference},
  year={2011}
}
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. The main advantage is that the system can be easily fine-tuned by adding specific rules for those noisy or conflicting categories that have not been… CONTINUE READING

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