Textual Analytics

Textual Analytics
Course Level
Delivered via
2 Credits


As organizations grow, so does the amount of data they create and process. While traditional methods of analyzing data to detect and prevent fraud are effective, additional techniques are emerging that can provide insight using unstructured data that has been previously overlooked. One such technique is the use of textual analytics. This data analysis method, used progressively more by organizations, adds value by reducing exposure to risk and aiding in fight against fraud.


Fundamental knowledge of data analysis procedures

You Will Learn How To:

Determine how textual analysis can be used in the prevention and detection of fraud

Identify the various attributes of data used for textual analysis

Differentiate textual analysis techniques and how they can be used to assess fraud risk

Recognize the benefits and challenges associated with using textual analytics

Table of Contents

Lesson 1 What Is Data Analysis?
Lesson 2 Types of Data
Lesson 3 What Is Textual Analytics?
Lesson 4 Benefits of Using Textual Analytics
Lesson 5 Challenges Faced When Performing Textual Analysis
Lesson 6 Preparing Data for Textual Analysis
Lesson 7 Text Mining
Lesson 8 Keywords and the Fraud Triangle
Lesson 9 Sentiment Analysis
Lesson 10 Textual Analytics and Email
Lesson 11 Textual Analytics and Social Media
Lesson 12 Combining Textual Analysis Techniques
Lesson 13 Displaying Results
Lesson 14 Data Privacy and Security
Lesson 15 Using Textual Analytics to Conduct Fraud Risk Assessments

CPE Information

CPE Credit: 2
NASBA Information: Auditing
Advanced Preparation: None
Last Updated: September 2023
Delivery Method: QAS Self-Study


CPE Credit

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