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<?xml version="1.0" standalone="yes"?> <Paper uid="P03-2022"> <Title>An Evaluation Method of Words Tendency using Decision Tree</Title> <Section position="6" start_page="0" end_page="0" type="concl"> <SectionTitle> 5. CONCLUSION </SectionTitle> <Paragraph position="0"> Stability classes are defined as the index of popularity of words, and five attributes are defined to obtain the frequency change of words quantitatively. The method is proposed to estimate automatically stability classes of words by having DT learning to be done on extracted attributes from past text data. It is confirmed by the test results that classification precision can be improved when all five attributes and the longest learning period are used. Future work could focus on texts in fields other than sports that is used in this paper</Paragraph> </Section> class="xml-element"></Paper>