Multi-label Text Categorization with Model Combination based on F1-score Maximization

@inproceedings{Fujino2008MultilabelTC,
  title={Multi-label Text Categorization with Model Combination based on F1-score Maximization},
  author={Akinori Fujino and Hideki Isozaki and Jun Suzuki},
  booktitle={IJCNLP},
  year={2008}
}
Text categorization is a fundamental task in natural language processing, and is generally defined as a multi-label categorization problem, where each text document is assigned to one or more categories. We focus on providing good statistical classifiers with a generalization ability for multi-label categorization and present a classifier design method based on model combination and F1-score maximization. In our formulation, we first design multiple models for binary classification per category… CONTINUE READING

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