Louise Guthrie
ABSTRACT
In this note, we present results concerning the theory and practice of determining for a given document which of several categories it best fits. We describe a mathematical model of classification schemes and the one scheme which can be proved optimal among all those based on word frequencies. Finally, we report the results of an experiment which illustrates the efficacy of this classification method.
- {Hayes, 1992} Philip Hayes, Intelligent High-Volume Text Processing Using Shallow, Domain Specific Techniques, Text-Based Intelligent Systems, P. Jacobs, ed., Lawrence Erlbaum, Hillsdale, NJ, pp. 227--241. Google Scholar
Digital Library
- {Lewis, 1992} David Lewis, Feature Selection and Feature Extraction for Text Categorization, Proceedings Speech and Natural Language Workshop, Morgan Kaufman, San Mateo, CA, February 1992, pp. 212--217. Google ScholarDigital Library
- {Sundheim, 1991} Beth Sundheim, editor. Proceedings of the Third Message Understanding Evaluation and Conference, Morgan Kaufman, Los Altos, CA, May 1991. Google ScholarDigital Library
- {Walker and Amsler, 1986} D. Walker and R. Amsler, The Use of Machine-Readable Dictionaries in Sublanguage Analysis, Analyzing Language in Restricted Domains, Grishman and Kittredge, eds., Lawrence Erlbaum, Hillsdale, NJ.Google Scholar
Index Terms
(auto-classified)Document classification by machine: theory and practice
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