Process complex text for information mining

Use AQL in InfoSphere BigInsights to extract information from raw text

From the developerWorks archives

Martin Brown

Date archived: January 13, 2017 | First published: January 28, 2014

Text — an everyday component of nearly all social interaction, social networks, and social sites — is difficult to process. Even the basic task of picking out specific words, phrases, or ideas is challenging. String searches and regex tools don't suffice. But the Annotation Query Language (AQL) within IBM InfoSphere® BigInsights™ enables you to make simple and straightforward declarative statements about text and convert that into easily manageable data chunks. Learn how AQL and InfoSphere BigInsights can process text into meaningful data and find out how to convert that information into something usable within the BigSheets environment to get statistical and visualized data from the raw material.

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Zone=Big data and analytics
ArticleTitle=Process complex text for information mining