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  <event:Event rdf:about="http://ebiquity.umbc.edu/event/html/id/263/Sentiment-Analysis-">
    <rdfs:label><![CDATA[Sentiment Analysis ]]></rdfs:label>
    <event:title><![CDATA[Sentiment Analysis ]]></event:title>
    <event:speaker><person:PhDStudent rdf:about="http://ebiquity.umbc.edu/person/html/Justin/Martineau/"><person:name><![CDATA[Justin  Martineau]]></person:name><rdfs:label><![CDATA[Justin  Martineau]]></rdfs:label></person:PhDStudent></event:speaker>
    <event:startDate rdf:datatype="&xsd;dateTime">2008-10-07T10:30:00-05:00</event:startDate>
    <event:endDate rdf:datatype="&xsd;dateTime">2008-10-07T12:00:00-05:00</event:endDate>
    <event:location><![CDATA[ITE 325]]></event:location>
    <event:abstract><![CDATA[Sentiment analysis is an established field with a wealth of prior work and
many new and interesting lines of research. During my summer at APL and
continuing into the semester I've investigate a host of applicable new
techniques: I've explored the theory that sentiment is a relationship
between two entities (held by one about the other), novel featurizations of
the data, and ways to bootstrap training data to improve results. Come find
out what worked, and what did not.
]]></event:abstract>
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