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    <title>Support Forums: Message List - Tracking User Sentiments on Twitter with Twitter4J and Esper</title>
    <link>http://www.theserverside.com</link>
    <description>Most recent forum messages</description>
    <language>en</language>
    
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    <pubDate>Wed, 19 Jun 2013 22:33:02 -0400</pubDate>


    <item>

        <title>hello</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63730</link>

        

        
            <description><![CDATA[tracker users that effiecient for Twitter?
<a class="jive-link-external" href="http://www.bartendertrainingsource.com" target="_newWindow">http://www.bartendertrainingsource.com</a>]]></description>
        

        <pubDate>Tue, 28 May 2013 02:15:26 -0400</pubDate>

        

        <jf:creationDate>Tue, 28 May 2013 02:15:26 -0400</jf:creationDate>
        <jf:modificationDate>Tue, 28 May 2013 02:15:26 -0400</jf:modificationDate>
        <jf:date>May 28, 2013</jf:date>
        <jf:author>mattcoleman</jf:author>
        <jf:replyCount>0</jf:replyCount>
    </item>


    <item>

        <title>tracker</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63730</link>

        

        
            <description><![CDATA[<p>sentiments in Twitter needs to be tracked</p>
<p><a href="http://www.colemanworks.net/top-holiday-gifts-for-graphic-designers/" target="_blank">gift idea for designer</a></p>]]></description>
        

        <pubDate>Mon, 05 Nov 2012 00:50:41 -0500</pubDate>

        

        <jf:creationDate>Mon, 05 Nov 2012 00:50:41 -0500</jf:creationDate>
        <jf:modificationDate>Mon, 05 Nov 2012 00:50:41 -0500</jf:modificationDate>
        <jf:date>Nov 5, 2012</jf:date>
        <jf:author>colemanworks</jf:author>
        <jf:replyCount>0</jf:replyCount>
    </item>


    <item>

        <title>twitter</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63730</link>

        

        
            <description><![CDATA[<p>Twitter has been a great tool of expressing our thoughts and feeling online</p>
<p><a href="http://www.storkclub.com/celebrities-at-the-stork-club.html" target="_blank">vintage celebrities</a></p>]]></description>
        

        <pubDate>Wed, 10 Oct 2012 02:53:16 -0400</pubDate>

        

        <jf:creationDate>Wed, 10 Oct 2012 02:53:16 -0400</jf:creationDate>
        <jf:modificationDate>Wed, 10 Oct 2012 02:53:16 -0400</jf:modificationDate>
        <jf:date>Oct 10, 2012</jf:date>
        <jf:author>l esca</jf:author>
        <jf:replyCount>0</jf:replyCount>
    </item>


    <item>

        <title>Tracking User Sentiments on Twitter with Twitter4J and Esper</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63730</link>

        

        
            <description><![CDATA[<p>Richard, Thank you and I appreciate your comment. &nbsp;My feedback below.</p>...]]></description>
        

        <pubDate>Thu, 01 Mar 2012 19:25:44 -0500</pubDate>

        

        <jf:creationDate>Thu, 01 Mar 2012 19:25:44 -0500</jf:creationDate>
        <jf:modificationDate>Thu, 01 Mar 2012 19:25:44 -0500</jf:modificationDate>
        <jf:date>Mar 1, 2012</jf:date>
        <jf:author>Mahesh Gadgil</jf:author>
        <jf:replyCount>0</jf:replyCount>
    </item>


    <item>

        <title>The real power of sentiment mining</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63730</link>

        

        
            <description><![CDATA[<p>Peter, Thank you and appreciate your comment. You could be right about reliability of tweeter feeds. However, for many companies, twitter feed is one of the major component to their big data.</p>]]></description>
        

        <pubDate>Thu, 01 Mar 2012 19:18:14 -0500</pubDate>

        

        <jf:creationDate>Thu, 01 Mar 2012 19:18:14 -0500</jf:creationDate>
        <jf:modificationDate>Thu, 01 Mar 2012 19:18:14 -0500</jf:modificationDate>
        <jf:date>Mar 1, 2012</jf:date>
        <jf:author>Mahesh Gadgil</jf:author>
        <jf:replyCount>0</jf:replyCount>
    </item>


    <item>

        <title>Tracking User Sentiments on Twitter with Twitter4J and Esper</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63730</link>

        

        
            <description><![CDATA[<p>So TheServerSide.com has come to this? I woudln't even define this as a crude implementation of sentimental analysis.</p>...]]></description>
        

        <pubDate>Wed, 29 Feb 2012 18:12:06 -0500</pubDate>

        

        <jf:creationDate>Wed, 29 Feb 2012 18:12:06 -0500</jf:creationDate>
        <jf:modificationDate>Wed, 29 Feb 2012 18:12:06 -0500</jf:modificationDate>
        <jf:date>Feb 29, 2012</jf:date>
        <jf:author>Richard Burton</jf:author>
        <jf:replyCount>1</jf:replyCount>
    </item>


    <item>

        <title>The real power of sentiment mining</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63730</link>

        

        
            <description><![CDATA[<p>It isn't twitter and unreliable data sources. Many companies have vast databases with customer feedback. The first place to apply sentiment technology is trusted data like CSR databases and other internal databases with unstructured data. Saying...]]></description>
        

        <pubDate>Wed, 29 Feb 2012 10:42:30 -0500</pubDate>

        

        <jf:creationDate>Wed, 29 Feb 2012 10:42:30 -0500</jf:creationDate>
        <jf:modificationDate>Wed, 29 Feb 2012 10:42:30 -0500</jf:modificationDate>
        <jf:date>Feb 29, 2012</jf:date>
        <jf:author>peter lin</jf:author>
        <jf:replyCount>1</jf:replyCount>
    </item>


    <item>

        <title>Tracking User Sentiments on Twitter with Twitter4J and Esper</title>
        <link>http://www.theserverside.com/discussions/thread.tss?thread_id=63730</link>

        

        
            <description><![CDATA[<p>Managing big data and mining useful information from it is the  hottest discussion topic in technology right now. Explosion of growth in  semi-structured data flowing from social networks like Twitter,  Facebook and Linkedin is making technologies...]]></description>
        

        <pubDate>Tue, 28 Feb 2012 20:14:34 -0500</pubDate>

        

        <jf:creationDate>Tue, 28 Feb 2012 20:14:34 -0500</jf:creationDate>
        <jf:modificationDate>Tue, 28 Feb 2012 20:14:34 -0500</jf:modificationDate>
        <jf:date>Feb 28, 2012</jf:date>
        <jf:author>Mahesh Gadgil</jf:author>
        <jf:replyCount>8</jf:replyCount>
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