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<?xml version="1.0" standalone="yes"?>
<Paper uid="P04-3025">
  <Title>Incorporating topic information into sentiment analysis models</Title>
  <Section position="2" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper reports experiments in classifying texts based upon their favorability towards the subject of the text using a feature set enriched with topic information on a small dataset of music reviews hand-annotated for topic. The results of these experiments suggest ways in which incorporating topic information into such models may yield improvement over models which do not use topic information.</Paragraph>
  </Section>
class="xml-element"></Paper>
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