<rdf:RDF
 xmlns:rdf="http://www.w3.org/1999/02/22-rdf-syntax-ns#"
 xmlns="http://purl.org/rss/1.0/"
 xmlns:dc="http://purl.org/dc/elements/1.1/"
 xmlns:cc="http://web.resource.org/cc/"
 >
<!--
	This ontology document is licensed under the Creative Commons
	Attribution License. To view a copy of this license, visit
	http://creativecommons.org/licenses/by/2.0/ or send a letter to
	Creative Commons, 559 Nathan Abbott Way, Stanford, California
	94305, USA.
-->
 <channel rdf:about="http://ebiquity.umbc.edu//tag/html/sentiment detection/?t=sentiment+detection">
  <cc:license rdf:resource="http://creativecommons.org/licenses/by/2.0/" />
  <title><![CDATA[UMBC ebiquity RSS Tag Search]]></title>
  <link><![CDATA[http://ebiquity.umbc.edu//tag/html/sentiment detection/?t=sentiment+detection]]></link>
  <description><![CDATA[UMBC ebiquity RSS Tag Search for sentiment detection]]></description>
  <items>
    <rdf:Seq>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
      <rdf:li resource="http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/580/Identifying-and-Isolating-Text-Classification-Signals-from-Domain-and-Genre-Noise-for-Sentiment-Analysis"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/412/BlogVox-Learning-Sentiment-Classifiers"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System"/>
      <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/360/Modeling-Trust-and-Influence-in-Blogosphere-using-Link-Polarity"/>
      <rdf:li resource="http://ebiquity.umbc.edu/paper/html/id/351/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity"/>
      <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:Seq>
  </items>
 </channel>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/208/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</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, the job of a politician is to both
represent and lead the people, good sentiment detection tools,
for blogs and other social media, tailored to politics are a must
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...]]></description>
  <dc:date>2007-06-07</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence in the Blogosphere Using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/event/html/id/191/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity</link>
  <description><![CDATA[The role of social networks has been well explored in
understanding how communities and individuals spread influence.
In a densely connected world where much of our communication
happens online, social media and networks have a great potential
in influencing our thoughts and actions. We describe techniques
to find "like minded" blogs based on blog-to-blog link sentiment
for a particular domain. Using simple sentiment detection
techniques, we identify the polarity (positive, negative or...]]></description>
  <dc:date>2007-02-13</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/580/Identifying-and-Isolating-Text-Classification-Signals-from-Domain-and-Genre-Noise-for-Sentiment-Analysis">
  <title><![CDATA[Identifying and Isolating Text Classification Signals from Domain and Genre Noise for Sentiment Analysis]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/580/Identifying-and-Isolating-Text-Classification-Signals-from-Domain-and-Genre-Noise-for-Sentiment-Analysis</link>
  <description><![CDATA[Sentiment analysis is the automatic detection and measurement of sentiment in text segments by machines. This problem is generally divided into three tasks: a sentiment detection task, a topic detection task, and a sentiment measurement task. The first task attempts to determine whether the author is being objective or whether they are expressing a value judgment on the topic. The second task attempts to determine the topic of the sentiment. The third task attempts to determine whether the au...]]></description>
  <dc:date>2011-12-05</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/412/BlogVox-Learning-Sentiment-Classifiers">
  <title><![CDATA[BlogVox: Learning Sentiment Classifiers]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/412/BlogVox-Learning-Sentiment-Classifiers</link>
  <description><![CDATA[Performing sentiment analysis upon a topic, specified by key words, without prior knowledge about the key words is a difficult task. With the growth of the blogosphere researchers, corporations, and politicians, among others are very interested in applying sentiment detection to blogs. To accommodate the demands from myriad users, with similarly diverse desires, a sentiment analysis engine for blogs must discover domain specific features relevant to queries in order to accurately assess the s...]]></description>
  <dc:date>2007-07-22</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System">
  <title><![CDATA[Blogvox2: A Modular Domain Independent Sentiment Analysis System]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/366/Blogvox2-A-Modular-Domain-Independent-Sentiment-Analysis-System</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>2007-06-07</dc:date>
 </item>
 <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/360/Modeling-Trust-and-Influence-in-Blogosphere-using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence in Blogosphere using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/360/Modeling-Trust-and-Influence-in-Blogosphere-using-Link-Polarity</link>
  <description><![CDATA[The role of social networks has been well explored in understanding how communities and individuals spread influence. In a densely connected world where much of our communication happens online, social media and networks have a great potential in influencing our thoughts and actions. We describe techniques to find "like minded" blogs based on blog-to-blog link sentiment for a particular domain. Using simple sentiment detection techniques, we identify the polarity (positive, negative or neutra...]]></description>
  <dc:date>2007-04-26</dc:date>
 </item>
 <item rdf:about="http://ebiquity.umbc.edu/paper/html/id/351/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity">
  <title><![CDATA[Modeling Trust and Influence in the Blogosphere Using Link Polarity]]></title>
  <link>http://ebiquity.umbc.edu/paper/html/id/351/Modeling-Trust-and-Influence-in-the-Blogosphere-Using-Link-Polarity</link>
  <description><![CDATA[The role of social networks has been well explored in
understanding how communities and individuals spread influence.
In a densely connected world where much of our communication
happens online, social media and networks have a great potential
in influencing our thoughts and actions. We describe techniques
to find "like minded" blogs based on blog-to-blog link sentiment
for a particular domain. Using simple sentiment detection
techniques, we identify the polarity (positive, negative or...]]></description>
  <dc:date>2007-03-25</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>
</rdf:RDF>
