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<Paper uid="N06-3005">
  <Title>Identifying Perspectives at the Document and Sentence Levels Using Statistical Models</Title>
  <Section position="4" start_page="227" end_page="227" type="relat">
    <SectionTitle>
2 Related Work
</SectionTitle>
    <Paragraph position="0"> Identifying the perspective from which a document is written is a subtask in the growing area of automatic opinion recognition and extraction. Subjective language is used to express opinions, emotions, and sentiments. So far research in automatic opinion recognition has primarily addressed learning subjective language (Wiebe et al., 2004; Riloff et al., 2003; Riloff and Wiebe, 2003), identifying opinionated documents (Yu and Hatzivassiloglou, 2003) and sentences (Yu and Hatzivassiloglou, 2003; Riloff et al., 2003; Riloff and Wiebe, 2003), and discriminating between positive and negative language (Yu and Hatzivassiloglou, 2003; Turney and Littman, 2003; Pang et al., 2002; Dave et al., 2003; Nasukawa and Yi, 2003; Morinaga et al., 2002).</Paragraph>
    <Paragraph position="1"> Although by its very nature we expect much of the language of presenting a perspective or point-of-view to be subjective, labeling a document or a sentence as subjective is not enough to identify the perspective from which it is written. Moreover, the ideology and beliefs authors possess are often expressed in ways more than conspicuous positive or negative language toward specific targets.</Paragraph>
  </Section>
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