Text Mining Application to Internal Audit (1 CPE)

$10.00

This course gives an overview of text mining and its application to unstructured data. Detailed code and R programming are beyond the scope of this course.

Text mining serves as a tool to tap into unstructured data. It can help support decisions by extracting key information, identifying trends and emerging risks, and providing a gateway into unstructured data.

 

In this course, we will cover the following objectives:

  • Understand the difference between structured and unstructured data.
  • Understand exploratory analysis and sentiment analysis.
  • Understand how sentiment analysis can help in risk-based auditing.

Duration: 1 hour (approximate)
CPEs Available: 1
Knowledge Level: Basic
Category: Data Analytics
Prerequisites: None
Advance Preparation: None

 

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Description

This course gives an overview of text mining and its application to unstructured data. Detailed code and R programming are beyond the scope of this course.

Text mining serves as a tool to tap into unstructured data. It can help support decisions by extracting key information, identifying trends and emerging risks, and providing a gateway into unstructured data.

In this course, we will cover the following objectives:

  • Understand the difference between structured and unstructured data.
  • Understand exploratory analysis and sentiment analysis.
  • Understand how sentiment analysis can help in risk-based auditing.

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