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	<title>Comments on: Term Extraction API and TagCloud.com</title>
	<atom:link href="http://www.chaddickerson.com/blog/2005/11/04/term-extraction-api-and-tagcloudcom/feed/" rel="self" type="application/rss+xml" />
	<link>http://www.chaddickerson.com/blog/2005/11/04/term-extraction-api-and-tagcloudcom/</link>
	<description>A little bit technology, a little bit rock-n-roll</description>
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		<title>By: Shanahan</title>
		<link>http://www.chaddickerson.com/blog/2005/11/04/term-extraction-api-and-tagcloudcom/comment-page-1/#comment-289309</link>
		<dc:creator>Shanahan</dc:creator>
		<pubDate>Thu, 08 Jan 2009 17:04:38 +0000</pubDate>
		<guid isPermaLink="false">http://www.chaddickerson.com/blog/?p=60#comment-289309</guid>
		<description>We use the Term Extractor for content analysis at http://www.Foolstr.com</description>
		<content:encoded><![CDATA[<p>We use the Term Extractor for content analysis at <a href="http://www.Foolstr.com" rel="nofollow">http://www.Foolstr.com</a></p>
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		<title>By: Francesco Sclano</title>
		<link>http://www.chaddickerson.com/blog/2005/11/04/term-extraction-api-and-tagcloudcom/comment-page-1/#comment-16123</link>
		<dc:creator>Francesco Sclano</dc:creator>
		<pubDate>Wed, 01 Nov 2006 22:05:53 +0000</pubDate>
		<guid isPermaLink="false">http://www.chaddickerson.com/blog/?p=60#comment-16123</guid>
		<description>Hi everybody!
TermExtractor, my master thesis, is online at the
address http://lcl2.di.uniroma1.it.

TermExtractor is a software package for Terminology Extraction. The software helps a web community to extract and validate relevant domain terms in their interest domain, by submitting an archive of domain-related documents in any format.

TermExtractor extracts terminology consensually
referred in a specific application domain. The software takes as input a corpus of domain documents, parses the documents, and extracts a list of &quot;syntactically plausible&quot; terms (e.g. compounds, adjective-nouns, etc.).
Documents parsing assigns a greater importance
to terms with text layouts (title, bold, italic,
underlined, etc.). Two entropy-based measures, called
Domain Relevance and Domain Consensus, are then used.
Domain Consensus is used to select only the terms
which are consensually referred throughout the corpus
documents. Domain Relevance to select only the terms
which are relevant to the domain of interest, Domain
Relevance is computed with reference to a set of
contrastive terminologies from different domains.
Finally, extracted terms are further filtered using
Lexical Cohesion, that measures the degree of
association of all the words in a terminological
string. Accept files formats are: txt, pdf, ps, dvi,
tex, doc, rtf, ppt, xls, xml, html/htm, chm, wpd and
also zip archives.</description>
		<content:encoded><![CDATA[<p>Hi everybody!<br />
TermExtractor, my master thesis, is online at the<br />
address <a href="http://lcl2.di.uniroma1.it" rel="nofollow">http://lcl2.di.uniroma1.it</a>.</p>
<p>TermExtractor is a software package for Terminology Extraction. The software helps a web community to extract and validate relevant domain terms in their interest domain, by submitting an archive of domain-related documents in any format.</p>
<p>TermExtractor extracts terminology consensually<br />
referred in a specific application domain. The software takes as input a corpus of domain documents, parses the documents, and extracts a list of &#8220;syntactically plausible&#8221; terms (e.g. compounds, adjective-nouns, etc.).<br />
Documents parsing assigns a greater importance<br />
to terms with text layouts (title, bold, italic,<br />
underlined, etc.). Two entropy-based measures, called<br />
Domain Relevance and Domain Consensus, are then used.<br />
Domain Consensus is used to select only the terms<br />
which are consensually referred throughout the corpus<br />
documents. Domain Relevance to select only the terms<br />
which are relevant to the domain of interest, Domain<br />
Relevance is computed with reference to a set of<br />
contrastive terminologies from different domains.<br />
Finally, extracted terms are further filtered using<br />
Lexical Cohesion, that measures the degree of<br />
association of all the words in a terminological<br />
string. Accept files formats are: txt, pdf, ps, dvi,<br />
tex, doc, rtf, ppt, xls, xml, html/htm, chm, wpd and<br />
also zip archives.</p>
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	<item>
		<title>By: Static Brain</title>
		<link>http://www.chaddickerson.com/blog/2005/11/04/term-extraction-api-and-tagcloudcom/comment-page-1/#comment-1319</link>
		<dc:creator>Static Brain</dc:creator>
		<pubDate>Tue, 28 Mar 2006 18:32:25 +0000</pubDate>
		<guid isPermaLink="false">http://www.chaddickerson.com/blog/?p=60#comment-1319</guid>
		<description>I myself am a big news and politics junkie, but I fail to understand how I could use tag cloud to help me. Could you explain why it is so useful and what I could do with it in layman&#039;s terms? I am kind of confused here. :-(</description>
		<content:encoded><![CDATA[<p>I myself am a big news and politics junkie, but I fail to understand how I could use tag cloud to help me. Could you explain why it is so useful and what I could do with it in layman&#8217;s terms? I am kind of confused here. :-(</p>
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	<item>
		<title>By: Paul Kinlan</title>
		<link>http://www.chaddickerson.com/blog/2005/11/04/term-extraction-api-and-tagcloudcom/comment-page-1/#comment-350</link>
		<dc:creator>Paul Kinlan</dc:creator>
		<pubDate>Sat, 26 Nov 2005 20:37:52 +0000</pubDate>
		<guid isPermaLink="false">http://www.chaddickerson.com/blog/?p=60#comment-350</guid>
		<description>I also heavily use the Term Extraction API on my AJAX Tagger.

www.kinlan.co.uk/AjaxExperiments/AjaxTag2

I also use the Search API, Flicr and Amazon API&#039;s too. :)</description>
		<content:encoded><![CDATA[<p>I also heavily use the Term Extraction API on my AJAX Tagger.</p>
<p><a href="http://www.kinlan.co.uk/AjaxExperiments/AjaxTag2" rel="nofollow">http://www.kinlan.co.uk/AjaxExperiments/AjaxTag2</a></p>
<p>I also use the Search API, Flicr and Amazon API&#8217;s too. :)</p>
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