About the Introduction to UiPath Communications Mining course
In this introductory course on Communications Mining, you will take your first steps toward exploring what the tool does: analyzing various types of communication data using specialized AI, from high volumes of emails to managing customer support tickets. You’ll also have the opportunity to do a practical exercise, where you can step into the shoes of a Model Trainer.
This course takes 45 minutes to complete. At the end, you will receive a diploma of completion.
Introduction to UiPath Communications Mining audience
This course is dedicated to any audience interested in knowing the basics of Communications Mining.
Introduction to UiPath Communications Mining agenda
This course covers the following topics:
Introduction to Communications Mining
What can Communications Mining do?
Practice: Create labels and entities
Learning Objectives
At the end of the Introduction to Communications Mining course, you should be able to:
Define what Communications Mining is.
Explain the process of data integration, analysis and interpretation in Communications Mining.
Differentiate between labels, entities, and sentiment analysis in the context of Communications Mining's specialized AI capabilities.
Identify the various sources of communication data that Communications Mining can interpret.
List the types of data Communications Mining doesn't handle.
Describe the real-world applications of Communications Mining.
Categorize and analyze customer service communication data.