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Text classification using ESC-based stochastic decision lists

Published: 01 November 1999 Publication History

Abstract

We propose a new method of text classification using stochastic decision lists. A stochastic decision list is an ordered sequence of IF-THEN rules, and our method can be viewed as a rule-based method for text classification having advantages of readability and refinability of acquired knowledge. Our method is unique in that decision lists are automatically constructed on the basis of the principle of minimizing Extended Stochastic Complexity (ESC), and with it we are able to construct decision lists that have fewer errors in classification. The accuracy of classification achieved with our method appears better than or comparable to those of existing rule-based methods.

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cover image ACM Conferences
CIKM '99: Proceedings of the eighth international conference on Information and knowledge management
November 1999
564 pages
ISBN:1581131461
DOI:10.1145/319950
Permission to make digital or hard copies of all or part of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for components of this work owned by others than ACM must be honored. Abstracting with credit is permitted. To copy otherwise, or republish, to post on servers or to redistribute to lists, requires prior specific permission and/or a fee. Request permissions from [email protected]

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Published: 01 November 1999

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  • (2023)Design and Development of Emotional Analysis System for Chinese Online Comment Text2023 4th International Conference on Electronic Communication and Artificial Intelligence (ICECAI)10.1109/ICECAI58670.2023.10176889(237-243)Online publication date: 12-May-2023
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