Inductive learning algorithms and representations for text categorization
Proceedings of the seventh international conference on Information and knowledge management
A repetition based measure for verification of text collections and for text categorization
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Text categorization for streams
SIGIR '07 Proceedings of the 30th annual international ACM SIGIR conference on Research and development in information retrieval
| Hi-index | 0.00 |
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.