Big data for text: Next-generation text understanding and analysis Saarland University

News portals and social media are rich information sources, for example for predicting stock market trends. Today, numerous service providers allow for searching large text collections by feeding their search engines with descriptive keywords. Keywords tend to be highly ambiguous, though, and quickly show the limits of current search technologies. Computer scientists from Saarbruecken developed a novel text analysis technology that considerably improves searching very large text collections by means of artificial intelligence. Beyond search, this technology also assists authors in researching and even in writing texts by automatically providing background information and suggesting links to relevant web sites. Living in the age of business smartphones and enterprise chatrooms, most information in companies is not distributed via spoken words but rather through e-mails, databases, and internal news portals. “According to…


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