UCSC CMPS290H Large scale data integration – Text Analytics – Big Data University

DescriptionProgram StructureEligibilityToolsFacultyContact

This course will teach you the basics of Text Analytics:  how to retrieve relevant text from structured, semi-structured or unstructured documents based on criteria you define. It uses a complete case study.

Course Syllabus:
  • Text analytics overview
  • Introducing AQL
  • Setting up a Text Analytics project in Eclipse
  • Extracting business information with AQL
  • Extracting paragraphs using a dictionary
  • Extracting sentences using split
  • Final processing and review of case study solution
  • Using UNION and CASE
  • Regular expressions in more detail (Optional)

Fees:

Free

Time to complete:

5 hours

Part Time/Full Time:

Part Time

  • Basic knowledge of Hadoop
  • Basic knowledge of operating systems (UNIX/Linux)
  • Hadoop
  • Gary Robinson
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