Beyond TFIDF Weighting for Text Categorization in the Vector Space Model

@inproceedings{Soucy2005BeyondTW,
  title={Beyond TFIDF Weighting for Text Categorization in the Vector Space Model},
  author={Pascal Soucy and Guy W. Mineau},
  booktitle={IJCAI},
  year={2005}
}
KNN and SVM are two machine learning approaches to Text Categorization (TC) based on the Vector Space Model. In this model, borrowed from Information Retrieval, documents are represented as a vector where each component is associated with a particular word from the vocabulary. Traditionally, each component value is assigned using the information retrieval… CONTINUE READING

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