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    <name>Article</name>
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          <name>Title</name>
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              <text>Online fake review identification based on decision rules</text>
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          <name>Subject</name>
          <description>The topic of the resource</description>
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              <text>Fake reviews; Online reviews; Svm</text>
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              <text>Posting of online reviews play a dominant role in sharing the customers opinion in social Medias. But the challenge is how to trust these reviews. Many researchers carried their work on sentimental analysis, predictions or forecasting but very few focused on fake reviews analysis. Fake reviews also change the mood of the people on their buying pattern. In the online shopping at a greater extent. In this paper, several conditions are applied on the reviews to identify fake reviews using support vector machines. Experimental results are validated using various accuracy measures and compared to state of the art methods to demonstrate the efficacy of the proposed method.  2019, World Academy of Research in Science and Engineering. All rights reserved.</text>
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          <name>Creator</name>
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              <text>Sanjay K.S.; Danti A.</text>
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          <name>Source</name>
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              <text>International Journal of Advanced Trends in Computer Science and Engineering, Vol-8, No. 2, pp. 140-143.</text>
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          <name>Publisher</name>
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              <text>World Academy of Research in Science and Engineering</text>
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          <name>Date</name>
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              <text>2019-01-01</text>
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              <text>&lt;a href="https://doi.org/10.30534/ijatcse/2019/07822019" target="_blank" rel="noreferrer noopener"&gt;https://doi.org/10.30534/ijatcse/2019/07822019&lt;/a&gt;
&lt;br /&gt;&lt;br /&gt;&lt;a href="https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067944630&amp;amp;doi=10.30534%2Fijatcse%2F2019%2F07822019&amp;amp;partnerID=40&amp;amp;md5=61101ff1f6825cfbb1b8ee0da20eb5ba" target="_blank" rel="noreferrer noopener"&gt;https://www.scopus.com/inward/record.uri?eid=2-s2.0-85067944630&amp;amp;doi=10.30534%2fijatcse%2f2019%2f07822019&amp;amp;partnerID=40&amp;amp;md5=61101ff1f6825cfbb1b8ee0da20eb5ba&lt;/a&gt;</text>
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          <name>Rights</name>
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              <text>All Open Access; Bronze Open Access</text>
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          <name>Relation</name>
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              <text>ISSN: 22783091</text>
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              <text>Online</text>
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              <text>English</text>
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              <text>Sanjay K.S., The Bangalore social &amp;amp; Educational Institutions, India; Danti A., Christ Deemed to be University, Bangalore, Karnataka, India</text>
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