Text Analytics Essentials – Case Study

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Text Analytics Essentials - Case Study

with Gary Robinson

Audience:
Text analytics beginners

Time to complete:
6 hours

Available in:
English

Learn the basics of Text Analytics!  This course will teach you how to retrieve relevant text from structured, semi-structured or unstructured documents based on criteria you define using a complete case study.  Apply these same criteria to big data by running them on top of a Hadoop cluster! All materials and software used are FREE!

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

General Information

  • This course is free.
  • It is self-paced.
  • It can be taken at any time.
  • It can be taken as many times as you wish.
  • Labs can be performed on the Cloud, or using a 64-bit system. If using a 64-bit system, you can install the required software (Linux-only), or use the supplied VMWare image. More details are provided in the course.
  • Students passing the course (by passing the final exam) will have immediate access to printing their online certificate of achievement. Your name in the certificate will appear exactly as entered in your profile in BigDataUniversity.com.
  • If you did not pass the course, you can take it again at any time.

Pre-requisites

  • None

Recommended skills prior to taking this course

  • Basic knowledge of operating systems (UNIX/Linux)
  • Familiarity with Eclipse IDE

Grading Scheme

  • The minimum passing mark for the course is 60%, where the final test is worth 100% of the course mark.
  • You have 3 attempts to take the test.