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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>