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<Paper uid="P06-2063">
  <Title>Automatic Identification of Pro and Con Reasons in Online Reviews</Title>
  <Section position="8" start_page="488" end_page="489" type="concl">
    <SectionTitle>
6 Conclusions and Future work
</SectionTitle>
    <Paragraph position="0"> This paper proposes a framework for identifying one of the critical elements of online product reviews to answer the question, &amp;quot;What are reasons that the author of a review likes or dislikes the product?&amp;quot; We believe that pro and con sentences in reviews can be answers for this question. We present a novel technique that automatically labels a large set of pro and con sentences in online reviews using clue phrases for pros and cons in epinions.com in order to train our system. We applied it to label sentences both on epinions.com and complaints.com. To investigate the reliability of our system, we tested it on two extremely different review domains, mp3 player reviews and restaurant reviews. Our system with the best feature selection performs 71% F-score in the reason identification task and 61% F-score in the reason classification task.</Paragraph>
    <Paragraph position="1">  The experimental results further show that pro and con sentences are a mixture of opinions and facts, making identifying them in online reviews a distinct problem from opinion sentence identification. Finally, we also apply the resulting system to another review data in complaints.com in order to analyze reasons of consumers' complaints. null In the future, we plan to extend our pro and con identification system on other sorts of opinion texts, such as debates about political and social agenda that we can find on blogs or news group discussions, to analyze why people support a specific agenda and why people are against it.</Paragraph>
  </Section>
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