<?xml version='1.0' encoding='UTF-8'?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom" xmlns:ccmbenchmark="https://www.ccmbenchmark.com/" xmlns:dc="http://purl.org/dc/elements/1.1/" xmlns:content="http://purl.org/rss/1.0/modules/content/" xmlns:media="http://search.yahoo.com/mrss/"><channel><title>Sutharsini Sivanantham : Dernier contenus</title><link>/account/sutharsini-sivanantham-23811</link><atom:link href="/account/sutharsini-sivanantham-23811" rel="self" type="application/rss+xml" /><language>fr</language><pubDate>Tue, 02 Jun 2026 10:58:19 +0200</pubDate><lastBuildDate>Tue, 02 Jun 2026 10:58:19 +0200</lastBuildDate><item><title>Le Text Mining au service de la connaissance client</title><link>https://www.journaldunet.com/solutions/dsi/1187526-le-text-mining-au-service-de-la-connaissance-client/</link><description><![CDATA[<a href="https://www.journaldunet.com/solutions/dsi/1187526-le-text-mining-au-service-de-la-connaissance-client/"><img src="https://img-0.journaldunet.com/MKKubGMjIkgO7ZKtiGUYooOYKXo=/100x/smart/8c4a6d733a2b4bdd8573679ff4322611/user-jdn/10017510.png" align="left" hspace="5" vspace="0"></a>Face à la démultiplication des sources et à la croissance des prises de parole sur les médias sociaux, décrypter les messages des consommateurs constitue un véritable enjeu pour les entreprises. Une problématique à laquelle le Text Mining peut répondre.]]></description><pubDate>Wed, 02 Nov 2016 11:45:42 +0100</pubDate><guid>https://www.journaldunet.com/solutions/dsi/1187526-le-text-mining-au-service-de-la-connaissance-client/</guid><dc:creator><![CDATA[Sutharsini Sivanantham]]></dc:creator><ccmbenchmark:content_author><![CDATA[Sutharsini Sivanantham]]></ccmbenchmark:content_author><ccmbenchmark:content_author_company><![CDATA[AdWay Conseil (Groupe Square)]]></ccmbenchmark:content_author_company><ccmbenchmark:content_author_illustration>1</ccmbenchmark:content_author_illustration></item></channel></rss>