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Automatic Document Classification using Summarization Strategies

Rafael Ferreira (Universidade Federal de Pernambuco), Rafael Dueire Lins (Universidade Federal de Pernambuco), Luciano Cabral (Universidade Federal de Pernambuco), Fred Freitas (Universidade Federal de Pernambuco), Steven J. Simske (Hewlett-Packard (United States)), Marcelo Riss

ACM Symposium on Document Engineering (DocEng)
DOI: 10.1145/2682571.2797077 (Computer Science)
License: not stated (all rights reserved)

Abstract: An efficient way to automatically classify documents may be provided by automatic text summarization, the task of creating a shorter text from one or several documents. This paper presents an assessment of the 15 most widely used methods for automatic text summarization from the text classification perspective. A naive Bayes classifier was used showing that some of the methods tested are better suited for such a task.

Published on 01 Sep. 2015