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	<title>Alberto Bustamante &#187; Artificial Intelligence</title>
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		<title>Automatic recognition of sarcasm</title>
		<link>http://www.albertobustamante.com/blog/2010/05/automatic-recognition-of-sarcasm/</link>
		<comments>http://www.albertobustamante.com/blog/2010/05/automatic-recognition-of-sarcasm/#comments</comments>
		<pubDate>Fri, 21 May 2010 19:38:57 +0000</pubDate>
		<dc:creator>Alberto</dc:creator>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[natural language processing]]></category>
		<category><![CDATA[NLP]]></category>
		<category><![CDATA[sarcasm]]></category>

		<guid isPermaLink="false">http://www.albertobustamante.com/blog/?p=140</guid>
		<description><![CDATA[When I read about an automatic sarcasm recognition algorithm, I wanted to know more about it. Sarcasm is not always easy to identify by human beings so&#8230; what about a computer? &#8220;Semi-supervised recognition of sarcastic sentences in Twitter and Amazon&#8221; describes the work done in The Hebrew University testing their SASI algorithm with data extracted [...]]]></description>
			<content:encoded><![CDATA[<p><img src="http://www.albertobustamante.com/blog/wp-content/uploads/2010/05/sarcasm.jpg" alt="sarcasm" title="sarcasm" width="175" height="162" class="alignleft size-full wp-image-144" />When I read about an automatic sarcasm recognition algorithm, I wanted to know more about it. Sarcasm is not always easy to identify by human beings so&#8230; what about a computer? &#8220;<a href="http://staff.science.uva.nl/~otsur/papers/conll_camFINAL.pdf">Semi-supervised recognition of sarcastic sentences in Twitter and Amazon</a>&#8221; describes the work done in The Hebrew University testing their SASI algorithm with data extracted from Twitter and Amazon. Although they obtained good results, there is still a lot of work to do in this field (as I expected before reading this article). I found interesting the way they model the problem, and the fact that they obtained better results classifying tweets instead of classifying Amazon data (more structured).</p>
<div id="crp_related"><h3>Related Posts:</h3><ul><li><a href="http://www.albertobustamante.com/blog/2009/12/machine-learning-in-stanford-university/" rel="bookmark" class="crp_title">Machine Learning in Stanford University</a></li><li><a href="http://www.albertobustamante.com/blog/2009/12/fixing-wordpress-error-500/" rel="bookmark" class="crp_title">Fixing Wordpress Error 500</a></li><li><a href="http://www.albertobustamante.com/blog/2009/12/jscrollpane-jtable-and-horizontal-scroll/" rel="bookmark" class="crp_title">JScrollPane, JTable and horizontal scroll</a></li><li><a href="http://www.albertobustamante.com/blog/2009/05/fixing-wordpress-error-406/" rel="bookmark" class="crp_title">Fixing Wordpress Error 406</a></li><li><a href="http://www.albertobustamante.com/blog/2009/06/the-class-javautilproperties/" rel="bookmark" class="crp_title">The Class java.util.Properties</a></li></ul></div>]]></content:encoded>
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		<title>Machine Learning in Stanford University</title>
		<link>http://www.albertobustamante.com/blog/2009/12/machine-learning-in-stanford-university/</link>
		<comments>http://www.albertobustamante.com/blog/2009/12/machine-learning-in-stanford-university/#comments</comments>
		<pubDate>Thu, 17 Dec 2009 20:51:10 +0000</pubDate>
		<dc:creator>Alberto</dc:creator>
				<category><![CDATA[Artificial Intelligence]]></category>
		<category><![CDATA[machine learning]]></category>
		<category><![CDATA[stanford]]></category>

		<guid isPermaLink="false">http://www.albertobustamante.com/blog/?p=131</guid>
		<description><![CDATA[Machine Learning is a branch of Artificial Intelligence, that aims to develop systems with the ability of learning from the experience. Machine learning techniques can be used in different fields. For example, recommendation systems (as Amazon), biology, games&#8230;
If you are looking for a introduction to Machine Learning, you must visit the Stanford University Youtube channel. [...]]]></description>
			<content:encoded><![CDATA[<p><a href="http://www.albertobustamante.com/blog/wp-content/uploads/2009/12/stanford-logo.jpg"><img src="http://www.albertobustamante.com/blog/wp-content/uploads/2009/12/stanford-logo.jpg" alt="stanford-logo" title="stanford-logo" width="120" height="112" class="alignleft size-full wp-image-132" /></a>Machine Learning is a branch of Artificial Intelligence, that aims to develop systems with the ability of learning from the experience. Machine learning techniques can be used in different fields. For example, recommendation systems (as Amazon), biology, games&#8230;</p>
<p>If you are looking for a introduction to Machine Learning, you must visit the Stanford University Youtube channel. You will find a <a href="http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599">complete course about this topic</a>, taught by Professor Andrew Ng. This is the info of the course:</p>
<blockquote><p><a href="http://www.youtube.com/view_play_list?p=A89DCFA6ADACE599">This course (CS229)</a> provides a broad introduction to machine learning and statistical pattern recognition. Topics include supervised learning, unsupervised learning, learning theory, reinforcement learning and adaptive control. Recent applications of machine learning, such as to robotic control, data mining, autonomous navigation, bioinformatics, speech recognition, and text and web data processing are also discussed.</p></blockquote>
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