2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery A New Text Feature Conversion Method for Text Classification Tianjin, China August 14-August 16 ISBN: 978-0-7695-3735-1
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/FSKD.2009.579
Keywords normally carry large amount of category information. In order to fully utilize this kind of information for text classification, this paper proposes a new text feature conversion method based on the SKG model. The method uses the classified texts with the listed key words as the training data to train the classifier. To expand the keyword space, we construct the KWB model and do the text classification by combining the KWB model and the SKG model. The experiment results demonstrate the advantages of this new method.
Index Terms:
text classification, SKG model, feature conversion, Bootstrapping
Citation:
Minghan Hu, Ying Liu, Lei Wang, Debin Ren, "A New Text Feature Conversion Method for Text Classification," fskd, vol. 1, pp.62-66, 2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009 Usage of this product signifies your acceptance of the Terms of Use. | |||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||||
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