Context-Sensitive Learning Methods for Text Categorization

Context-Sensitive Learning Methods for Text Categorization (1996)

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by William W. Cohen , Yoram Singer

Venue:	ACM Transactions on Information Systems
Citations:	213 - 12 self

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@INPROCEEDINGS{Cohen96context-sensitivelearning,
    author = {William W. Cohen and Yoram Singer},
    title = {Context-Sensitive Learning Methods for Text Categorization},
    booktitle = {ACM Transactions on Information Systems},
    year = {1996},
    pages = {307--315},
    publisher = {ACM Press}
}

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Abstract

this article, we will investigate the performance of two recently implemented machine-learning algorithms on a number of large text categorization problems. The two algorithms considered are set-valued RIPPER, a recent rule-learning algorithm [Cohen A earlier version of this article appeared in Proceedings of the 19th Annual International ACM Conference on Research and Development in Information Retrieval (SIGIR) pp. 307--315

Citations

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