Women in Automation 2024: Technical Session - Document Understanding and Communications Mining

Topics covered:



📌 UiPath Document Understanding

Introduction and Need for DU: Manual document challenges and introduction to Document Understanding.
DU Explained: Defining Document Understanding, its RPA benefits, and real-world applications
DU Framework: Key Stages of DU and how they work together
Implementation: DU configuration and integration with RPA projects.
Live Demo
UiPath Communications Mining: Understanding Textual Insights

Communications Mining involves the automated extraction, analysis, and interpretation of insights from various forms of textual communication data, such as emails, chat logs, social media interactions, and documents. Through techniques like natural language processing (NLP), sentiment analysis, entity recognition; Communications Mining enables organizations to uncover valuable information, patterns, and trends within their vast troves of unstructured text data.

Introduction to Communications Mining
Definition and importance of Communications Mining.
Overview of its applications and benefits.
Labels and Entities for Insight Capture
Explanation of using labels and entities to capture insights from communication data.
Discussion on their significance and application in Communications Mining.
Understanding Data Sources
Discussion on the types of communication data sources (emails, chat logs, social media, etc.).
Demonstration
Live demonstration of using labels and entities for Communications Mining using a sample dataset or sandbox environment.
👩‍💼Experts for the event:

Sowmya Rajan, Applied Scientist, UiPath

Priya Kannan, RPA Developer, UiPath

Q&A: open floor for questions and share further learning resources.

This session was live on April 4 as part of Women in Automation Series by UiPath Community.