Automatic text processing: the transformation, analysis, and retrieval of information by computer
Automatic text processing: the transformation, analysis, and retrieval of information by computer
Elements of information theory
Elements of information theory
The nature of statistical learning theory
The nature of statistical learning theory
Information storage and retrieval
Information storage and retrieval
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
Challenges of the Email Domain for Text Classification
ICML '00 Proceedings of the Seventeenth International Conference on Machine Learning
Summarizing email conversations with clue words
Proceedings of the 16th international conference on World Wide Web
GCC'05 Proceedings of the 4th international conference on Grid and Cooperative Computing
An approach to hierarchical email categorization based on ME
NLDB'07 Proceedings of the 12th international conference on Applications of Natural Language to Information Systems
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An approach to intelligent email categorization has been proposed using fast machine learning algorithms. The categorization is based on not only the body but also the header of an email message. The metadata (e.g. sender name, organization, etc.) provide additional information that can be exploited and improve the categorization capability. Results of experiments on real email data demonstrate the feasibility of our approach. In particular, it is shown that categorization based only on the header information is comparable or superior to that based on all the information in a message.