Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
An example-based mapping method for text categorization and retrieval
ACM Transactions on Information Systems (TOIS)
SIGIR '94 Proceedings of the 17th annual international ACM SIGIR conference on Research and development in information retrieval
The nature of statistical learning theory
The nature of statistical learning theory
Domain modeling for software engineering
ICSE '91 Proceedings of the 13th international conference on Software engineering
A re-examination of text categorization methods
Proceedings of the 22nd annual international ACM SIGIR conference on Research and development in information retrieval
Machine learning in automated text categorization
ACM Computing Surveys (CSUR)
Introduction to Modern Information Retrieval
Introduction to Modern Information Retrieval
A Comparative Study on Feature Selection in Text Categorization
ICML '97 Proceedings of the Fourteenth International Conference on Machine Learning
Fast Text Classification: A Training-Corpus Pruning Based Approach
DASFAA '03 Proceedings of the Eighth International Conference on Database Systems for Advanced Applications
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Automatic categorization has been shown to be an accurate alternative to manual categorization in which documents are processed and automatically assigned to pre-defined categories. The accuracy of different methods for categorization has been studied largely, but their efficiency has seldom been mentioned. Aiming to maintain effectiveness while improving efficiency, we proposed a fast algorithm for text categorization and a compressed document vector representation method based on a novel class space model. The experiments proved our methods have better efficiency and tolerable effectiveness.