Automating Data Extraction from Documents Using NLP

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Eduardo Freitas

28:11

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1. Course Overview

1. Course Overview.mp4

01:57

2. Understanding and Implementing Data Extraction

1. Introduction.mp4

00:45

2. Demo - Introduction to Data Extraction.mp4

02:45

3. Demo - Challenges and Ethics of Data Extraction.mp4

03:12

4. Demo - Rule-based Extraction Techniques.mp4

02:48

5. Demo - Advanced Rule-based Extraction.mp4

03:25

6. Summary.mp4

00:29

3. Advanced Data Extraction Techniques

1. Demo - Machine Learning for Data Extraction.mp4

03:41

2. Demo - Deep Learning in Data Extraction.mp4

02:36

3. Demo - Evaluating Data Extraction Models.mp4

02:35

4. Demo - Handling Diverse Documents and Challenges.mp4

03:10

5. Summary and Final Thoughts.mp4

00:48

Description

This course will teach you to automate data extraction from documents with NLP. Dive into concise, rule-based, NLP techniques used to transform unstructured data into actionable insights, enhancing efficiency, and decision-making in data analytics.

What You'll Learn?

In a world of data, efficiently extracting meaningful information from unstructured documents is a coveted skill in data analytics and business intelligence. Natural Language Processing automates data extraction processes, driving efficiency and precision in your analytical endeavors. In this course, Automating Data Extraction from Documents Using NLP, you can transform unstructured text into structured, actionable data.

First, you’ll explore rule-based data extraction techniques, delving into the world of regular expressions and pattern matching to lay a solid foundation for recognizing and retrieving data.

Next, you’ll discover machine learning approaches, including classification and sequence labeling that elevate your data extraction strategies to handle more complex and varied document formats.

Finally, you’ll learn how to harness the power of deep learning, particularly attention mechanisms and transformers, to navigate through the intricacies of large and multifaceted datasets, fine-tuning your models for optimal performance.

When you finish this course, you’ll have concise skills and knowledge of Natural Language Processing techniques needed to automate data extraction processes, driving efficiency and precision in your analytical endeavors.

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Artificial Intelligence

Natural Language Processing

Eduardo Freitas

Instructor's Courses

Eduardo is a technology enthusiast, software architect and customer success advocate. He's designed enterprise .NET solutions that extract, validate and automate critical business processes such as Accounts Payable and Mailroom solutions for all types of organizations. He's designed and supported production systems for global names such as Coca Cola, Enel, Pirelli, Fiat-Chrysler, Xerox and many others. He's a well-known specialist in the Enterprise Content Management market segment, specifically focusing on data capture & extraction and document process automation. He designed a supplier invoice processing system for Agfa that achieved 50% straight-through processing (50% of invoices extracted from paper, validated and exported into SAP without any human validation). He's also loves to write about cutting-edge technologies. He loves helping customers succeed. In his free time, he enjoys spending time with his family and being outdoors. He loves running and sports.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.