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<Paper uid="W03-1014">
  <Title>Learning Extraction Patterns for Subjective Expressions</Title>
  <Section position="1" start_page="0" end_page="0" type="abstr">
    <SectionTitle>
Abstract
</SectionTitle>
    <Paragraph position="0"> This paper presents a bootstrapping process that learns linguistically rich extraction patterns for subjective (opinionated) expressions.</Paragraph>
    <Paragraph position="1"> High-precision classifiers label unannotated data to automatically create a large training set, which is then given to an extraction pattern learning algorithm. The learned patterns are then used to identify more subjective sentences.</Paragraph>
    <Paragraph position="2"> The bootstrapping process learns many subjective patterns and increases recall while maintaining high precision.</Paragraph>
  </Section>
class="xml-element"></Paper>