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<?xml version="1.0" standalone="yes"?>
<Paper uid="C02-1155">
  <Title>Multi-Dimensional Text Classification</Title>
  <Section position="7" start_page="12" end_page="12" type="concl">
    <SectionTitle>
6 Conclusion
</SectionTitle>
    <Paragraph position="0"> In this paper, a multi-dimensional framework on text classification was proposed. The framework applies a multi-dimensional category for representing classes, in contrast with traditional flat and hierarchical category models.</Paragraph>
    <Paragraph position="1"> Classifying text documents based on a multi-dimensional category model can be performed using the multi-dimensional-based classification or the flat and hierarchical classifications. By experiments on two data sets and three algorithms, k-NN, naive Bayes and centroid-based methods, the results show that the multi-dimensional-based and hierarchical-based classifications outperform flat-based one.</Paragraph>
  </Section>
class="xml-element"></Paper>
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