Text mining and natural language processing</tile> <meta http-equiv="Content-Type" content="text/html; charset=utf-8"> <meta http-equiv="description" content="Text mining and natural language processing"> <meta http-equiv="keywords" content="Text,mining,and,natural,language,processing"> </head> <body> <table width="100%" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="10" height="39"> </td> <td width="99%" height="39"> <table width="100%" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="16%"><a href="http://inttranews.inttra.net"><img src="http://inttranews.inttra.net/images/inttranews_grey_2.jpg" width="192" height="37" border="0"></a></td> <td width="50%" valign="middle"> <p><font face="Arial, Helvetica, sans-serif" size="2"><b><font color="#CCCCCC" face="Verdana, Arial, Helvetica, sans-serif" size="1">KNOW.<br> HOW.</font></b></font> </p> </td> <td width="34%" align="right" valign="top"><font face="Verdana, Arial, Helvetica, sans-serif" size="1" color="#666666">09-03-2005</font></td> </tr> </table> </td> </tr> <tr> <td width="10"> </td> <td width="99%" > </td> </tr> <tr> <td width="10"> </td> <td width="99%" > <table width="100%" border="0" cellspacing="0" cellpadding="0"> <tr> <td width="100%"><font face="Verdana, Arial, Helvetica, sans-serif" size="2"> <b>Text mining and natural language processing</b></font> </td> </tr> <tr> <td width="100%"> </td> </tr> <tr> <td width="100%"> <img src="http://inttranews.inttra.net/img_news/img_gaOr5x93KnLIzix7H3M8_0.jpg" align="left" vspace="5" hspace="5" ><font face="Verdana, Arial, Helvetica, sans-serif" size="2">(Content Wire): Temis and Lingsoft announced that they have signed a Bilateral Collaboration Agreement whereby Temis will expand the linguistic coverage of its software solutions to support 16 languages. Temis products will now integrate the Lingsoft set of Northern European languages. <br>Among the innovative products of the firm, Insight Discoverer Extractor is an information extraction server dedicated to analysis of text documents. Insight Discoverer Clusterer is an automated classification engine that suggests the most relevant classification for a collection of unstructured documents. <br> <br>For more information, please visit: <br><a href="http://www.content-wire.com/FreshPicks/Index.cfm?ccs=86&cs=3501 " target="blank">www.content-wire.com/FreshPicks/Index.cfm?ccs=86&cs=3501 </a> <br></font></td> </tr> </table> </td></tr> </table> <script type="text/javascript"></script> <script type="text/javascript" src="<http://pagead2.googlesyndication.com/pagead/show