Process complex text for information mining
Use AQL in InfoSphere BigInsights to extract information from raw text
From the developerWorks archives
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.
This content is no longer being updated or maintained. The full article is provided "as is" in a PDF file. Given the rapid evolution of technology, some steps and illustrations may have changed.