An Open Interface for Probabilistic Models of Text
DCC '99 Proceedings of the Conference on Data Compression
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
Context-based methods for text categorisation
Proceedings of the 27th annual international ACM SIGIR conference on Research and development in information retrieval
jGE: a Java implementation of grammatical evolution
ICS'06 Proceedings of the 10th WSEAS international conference on Systems
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We describe a novel system for evaluating and performing stream-based text categorization. Stream-based text categorization considers the text being categorized as a stream of symbols, which differs from the traditional feature-based approach which relies on extracting features from the text. The system implements character-based languages models--specifically models based on the PPM text compression scheme--as well as count-based measures such as R-Measure and C-Measure. Use of the system demonstrates that all of these techniques outperform SVM, a feature-based classifier, at stream-related classification tasks such as authorship ascription.