Learn how to use IBM® BigInsights® Text Analytics, an information extraction system, to extract information from unstructured and semi-structured documents.

Using IBM BigInsights Text Analytics you can create extractors using a visual web interface. The visual extractors are then automatically translated into Annotation Query Language (AQL) rules to extract structured information from unstructured and semi-structured documents. You can apply Text Analytics to big data at rest in IBM BigInsights and big data in motion in IBM Streams.

• Understand and describe the need for text analytics
• Understand the Annotation Query Language (AQL)
• Describe the AQL data model
• Navigate a Text Analytics project in the web UI
• Import documents into a project
• Understand the Text Analytics development process
• Use the tooling to create and test extractors

The course is designed for data scientists and developers who want to use Text Analytics.

• Students should be familiar with SQL, Hadoop, and the Linux file system.
• Have taken DW601 - IBM BigInsights Overview
• Although not required, it would also be helpful for students to take the DW644 - IBM BigInsights Bigsheets to have a better understanding of how BigSheets can work with Text Analytics. Student can attend many free courses at www.bigdatauniversity.com to acquire the necessary requirements.

• Understand and describe the need for text analytics
• Understand the Annotation Query Language (AQL)
• Describe the AQL data model
• Text Analytics web tooling
• Navigate a Text Analytics project in the web UI
• Import documents into a project
• Understand the Text Analytics development process
• Use the tooling to create and test extractors