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	<title>George Alexander &#187; Uncategorized</title>
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	<link>http://gameintelligencegroup.org/alexander</link>
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		<title>Next Steps 3/11</title>
		<link>http://gameintelligencegroup.org/alexander/2009/03/11/next-steps-311/</link>
		<comments>http://gameintelligencegroup.org/alexander/2009/03/11/next-steps-311/#comments</comments>
		<pubDate>Wed, 11 Mar 2009 14:53:59 +0000</pubDate>
		<dc:creator>alexander</dc:creator>
				<category><![CDATA[Uncategorized]]></category>

		<guid isPermaLink="false">http://chaos.uncc.edu/GameIntelligenceGroup/alexander/?p=36</guid>
		<description><![CDATA[<p id="top" />To Do:</p>

Create single-word frequency histograms from Study 1 Data
Chunk Study 1 Data into 2-word pairs and create histograms to see what combinations come up a lot (such as &#8220;authorized person&#8221; and &#8220;unauthorized person&#8221;)
Use POS tagging and create word frequency histograms based only on verbs
Generate WordNet synsets for common verbs
Finally, look for clusters in [...]]]></description>
			<content:encoded><![CDATA[<p id="top" />To Do:</p>
<ol>
<li>Create single-word frequency histograms from Study 1 Data</li>
<li>Chunk Study 1 Data into 2-word pairs and create histograms to see what combinations come up a lot (such as &#8220;authorized person&#8221; and &#8220;unauthorized person&#8221;)</li>
<li>Use POS tagging and create word frequency histograms based only on verbs</li>
<li>Generate WordNet synsets for common verbs</li>
<li>Finally, look for clusters in the data and try to determine how to predict user vocabulary</li>
</ol>
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