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Abstract: This paper examines the use of inductive learning to categorize natural language documents into predefined content categories. Categorization of text is of increasing importance in information retrieval and natural language processing systems. Previous research on automated text categorization has mixed machine learning and knowledge engineering methods, making it difficult to draw conclusions about the performance of particular methods. In this paper we present empirical results on the... (Update)
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BibTeX entry: (Update)
D. D. Lewis and M. Ringuette. A comparison of two learning algorithms for text categorization. In Third Annual Symposium on Document Analysis and Information Retrieval, pages 81--93, 1994. http://citeseer.ist.psu.edu/lewis94comparison.html More
@inproceedings{ lewis94comparison,
author = "David D. Lewis and Marc Ringuette",
title = "A comparison of two learning algorithms for text categorization",
booktitle = "Proceedings of {SDAIR}-94, 3rd Annual Symposium on Document Analysis and Information Retrieval",
address = "Las Vegas, US",
pages = "81--93",
year = "1994",
url = "citeseer.ist.psu.edu/lewis94comparison.html" }
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