The use of bigrams to enhance text categorization

Author:

Tan Chade-Meng,Wang Yuan-Fang,Lee Chan-Do

Publisher

Elsevier BV

Subject

Library and Information Sciences,Management Science and Operations Research,Computer Science Applications,Media Technology,Information Systems

Reference19 articles.

1. Automated learning of decision rules for text categorization;Apté;ACM Transactions on Information Systems,1994

2. Apté, C., Damerau, F., & Weiss, S. (1998). Text mining with decision trees and decision rules. Presented at the conference on automated learning and discovery, Pittsburgh, PA

3. Learning probabilistic user models;Billsus,1997

4. Approximate statistical tests for comparing supervised classification learning algorithms;Dietterich;Neural Computation,1997

5. Fürnkranz, J. (1998). A study using n-gram features for text categorization. Technical Report OEFAI-TR-98-30, Austrian Research Institute for Artificial Intelligence, Vienna, Austria

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