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 <channel rdf:about="http://ebiquity.umbc.edu/tag/opinion extraction/">
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  <image rdf:resource="http://ebiquity.umbc.edu/img/logo.jpg" />  <title><![CDATA[RSS Tag Search]]></title>
  <link>http://ebiquity.umbc.edu/tag/opinion extraction/</link>
  <description><![CDATA[RSS Tag Search]]></description>
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    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity"/>
    <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs"/>
    <rdf:li resource="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media"/>
    <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media"/>
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 <image rdf:about="http://ebiquity.umbc.edu/img/logo.jpg">
  <title>UMBC ebiquity research group</title>
  <link>http://ebiquity.umbc.edu</link>
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 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity">
  <title><![CDATA[On Modeling Trust in Social Media using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/370/On-Modeling-Trust-in-Social-Media-using-Link-Polarity</link>
  <description><![CDATA[There is a growing interest in exploring the role of social networks to understand how communities and individuals spread influence. In a densely connected online world, social media and networks have a great potential in influencing our thoughts and actions. We describe techniques to model trust in social media and present experimental results on finding “like minded” blogs based on blog-to-blog link sentiment for a particular domain. Using simple sentiment detection techniques, we ident...]]></description>
  <dc:date>2007-05-14</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System">
  <title><![CDATA[The BlogVox Opinion Retrieval System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/352/The-BlogVox-Opinion-Retrieval-System</link>
  <description><![CDATA[The BlogVox system retrieves opinionated blog posts specified by ad
hoc queries. BlogVox was developed for the 2006 TREC blog track by the University of
Maryland, Baltimore County and the Johns Hopkins University
Applied Physics Laboratory using a novel system to recognize legitimate  
posts and discriminate against spam blogs.  It also processes posts to eliminate extraneous
non-content, including blog-rolls, link-rolls, advertisements and
sidebars.  After retrieving posts relevant to ...]]></description>
  <dc:date>2007-02-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/230/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs">
  <title><![CDATA[BlogVox2: Sentiment Detection in Political Blogs]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/231/BlogVox2-Sentiment-Detection-in-Political-Blogs</link>
  <description><![CDATA[Bloggers make a huge impact on society by representing and influencing the people.
Blogging by nature is about expressing and listening to opinion. Good sentiment detection
tools, for blogs and other social media, tailored to politics can be a useful tool for
today’s society. With the elections around the corner, political blogs are vital to exerting
and keeping political influence over society. Currently, no sentiment analysis framework
that is tailored to Political Blogs exist. Hence...]]></description>
  <dc:date>2007-07-09</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media">
  <title><![CDATA[Information extraction from social media]]></title>
  <link>http://ebiquity.umbc.edu/resource/html/id/204/Information-extraction-from-social-media</link>
  <description><![CDATA[This presentation gives an overview of recent work at UMBC on extracting information from social media.]]></description>
  <dc:date>2006-10-10</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media">
  <title><![CDATA[Tracking influence and opinions in social media]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/187/Tracking-influence-and-opinions-in-social-media</link>
  <description><![CDATA[Recently, social media such as forums, wikis and blogs, in
particular, are playing a notable role in influencing the
buying patterns of consumers.  Often a person looks for
opinions, user experiences and reviews on such sources
before purchasing a product.  Detecting influential nodes,
opinion leaders and understanding their role in how people
perceive and adopt a product or service provides a powerful
tool for marketing, advertising and business
intelligence. This requires new algori...]]></description>
  <dc:date>2006-11-13</dc:date>
 </item>
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