With its software RapidMiner, Rapid-I automatically searches the World Wide Web and categorizes web pages with the aid of the newest text mining technology. This way it is possible to obtain an affordable and highly up-to-date sentiment analysis about individual products or about a company as a whole. In addition to an aggregated statistic with the market insight from hundreds or thousands of opinions expressed in the internet, which summarizes how many customers have which sentiment, the RapidMiner also delivers the particularly characteristic key words and terms for each sentiment thereby providing an explanation for the sentiments found.
About RapidMiner:
RapidMiner ( www.RapidMiner.com ) is the leading open source data mining software. According to a poll of the major web portal for data mining and knowledge discovery, KDnuggets.com, in May 2008 among 347 data mining experts, RapidMiner is the most widely used open source data mining tool, the second most frequently employed software for data analysis overall. A study of the Technical University of Chemnitz presented at the international Data-Mining-Cup 2007 (DMC-2007) compared the major open source data mining tools and found RapidMiner to be the leading open source data mining software outperforming the others especially with respect to its advanced technology and to its usability. Within its "Innovation Award 2008", the German initiative for small and mid-sized businesses ("Initiative Mittelstand") awarded RapidMiner as one of the most innovative open source solutions. RapidMiner has thousands of users in more than 40 countries world-wide. During the last three years, RapidMiner was downloaded more than 330,000 times. RapidMiner provides more than 500 different modules for detecting patterns in data and for their 2D and 3D visualisation. RapidMiner supports data import from common data formats of other data mining tools, Excel sheets, SPSS files, all common databases, and unstructered text documents like news texts, e-mail messages, web pages, web blogs, PDF documents, as well as time series and audio data.
Contact:
Address: Rapid-I GmbH, Stockumer Straße 475, 44227 Dortmund, Germany
Press contact: Nadja Mierswa
E-Mail: press@rapid-i.com
Phone: +49-(0)231-425-786-90
Web: www.rapid-i.com
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