<?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>Ivan Monnier : Dernier contenus</title><link>/account/ivan-monnier-27400</link><atom:link href="/account/ivan-monnier-27400" rel="self" type="application/rss+xml" /><language>fr</language><pubDate>Mon, 27 Apr 2026 23:23:48 +0200</pubDate><lastBuildDate>Mon, 27 Apr 2026 23:23:48 +0200</lastBuildDate><item><title>Business intelligence et analyse de sentiment : comment ça marche ?</title><link>https://www.journaldunet.com/big-data/1209954-business-intelligence-et-analyse-de-sentiment-comment-ca-marche/</link><description><![CDATA[<a href="https://www.journaldunet.com/big-data/1209954-business-intelligence-et-analyse-de-sentiment-comment-ca-marche/"><img src="https://img-0.journaldunet.com/BMRsK9PoSfY86nNIzLhGhrCi3RM=/100x/smart/4f2d52d545a2456b83a228f07be7a971/user-jdn/10024941-anonyme-anonyme.jpg" align="left" hspace="5" vspace="0"></a>Les organisations consomment des quantités colossales de textes numériques. Si les technologies du big data permettent de mieux gérer ces volumes, elles se concentrent la plupart du temps uniquement sur les datas structurées.]]></description><pubDate>Tue, 12 Jun 2018 17:21:48 +0200</pubDate><guid>https://www.journaldunet.com/big-data/1209954-business-intelligence-et-analyse-de-sentiment-comment-ca-marche/</guid><dc:creator><![CDATA[Ivan Monnier]]></dc:creator><ccmbenchmark:content_author><![CDATA[Ivan Monnier]]></ccmbenchmark:content_author><ccmbenchmark:content_author_company><![CDATA[Qwam Content Intelligence ]]></ccmbenchmark:content_author_company><ccmbenchmark:content_author_illustration>1</ccmbenchmark:content_author_illustration></item></channel></rss>