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We propose several context-based methods for text categorization. One method, a small modification to the PPM compression-based model which is known to significantly degrade compression performance, counter-intuitively has the opposite effect on categorization performance. Another method, called C-measure, simply counts the presence of higher order character contexts, and outperforms all other approaches investigated.
@inproceedings{1009129, author = {D. S. Hunnisett and W. J. Teahan}, title = {Context-based methods for text categorisation}, booktitle = {SIGIR '04: Proceedings of the 27th annual international conference on Research and development in information retrieval}, year = {2004}, isbn = {1-58113-881-4}, pages = {578--579}, location = {Sheffield, United Kingdom}, doi = {http://doi.acm.org/10.1145/1008992.1009129}, publisher = {ACM Press}, }  ©2005 Association for Computing Machinery |
