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<Paper uid="H05-1043">
  <Title>Proceedings of Human Language Technology Conference and Conference on Empirical Methods in Natural Language Processing (HLT/EMNLP), pages 339-346, Vancouver, October 2005. c(c)2005 Association for Computational Linguistics Extracting Product Features and Opinions from Reviews</Title>
  <Section position="6" start_page="345" end_page="345" type="concl">
    <SectionTitle>
5 Conclusion
</SectionTitle>
    <Paragraph position="0"> OPINE is an unsupervised information extraction system which extracts fine-grained features, and associated opinions, from reviews. OPINE's use of the Web as a corpus helps identify product features with improved precision compared with previous work. OPINE uses a novel relaxation-labeling technique to determine the semantic orientation of potential opinion words in the context of the extracted product features and specific review sentences; this technique allows the system to identify customer opinions and their polarity with high precision and recall.</Paragraph>
  </Section>
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