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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/448/Delta-TFIDF-An-Improved-Feature-Space-for-Sentiment-Analysis">
  <title><![CDATA[Delta TFIDF: An Improved Feature Space for Sentiment Analysis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/448/Delta-TFIDF-An-Improved-Feature-Space-for-Sentiment-Analysis</link>
  <description><![CDATA[Mining opinions and sentiment from social networking sites is a popular application for social media systems. Common approaches use a machine learning system with a bag of words feature set. We present Delta TFIDF, an intuitive general purpose technique to efficiently weight word scores before classification. Delta TFIDF is easy to compute, implement, and understand. We use Support Vector Machines to show that Delta TFIDF significantly improves accuracy for sentiment analysis problems using t...]]></description>
  <dc:date>2009-05-17</dc:date>
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  <title><![CDATA[SMART: A SVM-based Misbehavior Detection and Trust Management Framework for Mobile Ad hoc Networks]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/347/SMART-A-SVM-based-Misbehavior-Detection-and-Trust-Management-Framework-for-Mobile-Ad-hoc-Networks</link>
  <description><![CDATA[Due to lack of pre-deployed infrastructure, nodes in Mobile Ad hoc Networks (MANETs) are required to relay data packets for other nodes to enable multi-hop communication between nodes that are not in radio range with each other. However, whether for selfish or malicious purposes, a node may refuse to cooperate during the network operations or even attempt to interrupt them, both of which have been recognized as misbehaviors. To address the security threats caused by various misbehaviors, a SV...]]></description>
  <dc:date>2010-05-18</dc:date>
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