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<h1>Resume_Analyzer</h1>

<p style="color: #ff0000;"><span style="font-weight: bold;">NOTE:</span> 
 Our Resume analyzer project ended in <span style="font-weight: bold;">2001</span>, 
 with an ancient version of VisualText and NLP++. The project emphasized 
 development of the RUG automated rule generation capability (a prototype 
 capability in VisualText). <!--kadov_tag{{<spaces>}}-->&nbsp;<!--kadov_tag{{</spaces>}}-->Please 
 <span style="font-weight: bold;">don't judge VisualText and NLP++</span> 
 by this prehistoric analyzer! <!--kadov_tag{{<spaces>}}-->&nbsp;<!--kadov_tag{{</spaces>}}-->Instead, 
 look at <span style="font-weight: bold;">TAIParse</span> as an example 
 of the things you can do with VisualText and NLP++.</p>

<p>An advanced resume analysis prototype is available via download from 
 our website. <!--kadov_tag{{<spaces>}}-->&nbsp;<!--kadov_tag{{</spaces>}}-->It 
 extracts contact information, experience and education records from resumes 
 at 80% accuracy (90% precision and 75% recall/completeness). <!--kadov_tag{{<spaces>}}-->&nbsp;<!--kadov_tag{{</spaces>}}-->It 
 is available at</p>

<p><a href="http://dev.textanalysis.com/Rez0_3_1.zip">http://dev.textanalysis.com/Rez0_3_1.zip</a> 
 (latest compiled version)</p>

<p><a href="http://www.textanalysis.com/Apps/Information_Extraction/information_extraction.html">http://www.textanalysis.com/Apps/Information_Extraction/information_extraction.html</a></p>

<p>&nbsp;</p>

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