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Building Knowledge Graphs with Python

by Andrei Pruteanu

This course will teach you how to create knowledge graphs out of textual information. It will show you how to extract information such as topics and entities and uncover how they are linked into so-called knowledge graphs.

What you'll learn

In this course, Building Knowledge Graphs Using Python, you’ll learn how to extract and link information by creating graphs out of textual data. First, you will explore how to do topic modeling using Python. Next, you will discover how to do entity extraction. Finally, you will learn how to link the information uncovered in the previous two steps in a unified manner. When you’re finished with this course, you’ll have the skills and knowledge of creating knowledge graphs using Python needed to uncover complex information out of raw textual data. All code is available on GitHub:

About the author

Andrei is a passionate Data Scientist. He started his career in tech in the automotive industry. After that he pursued a PhD in CS at Delft University of Technology, the Netherlands. Since the graduation of his studies, he worked with large data-sets in domains ranging from scientific research, energy and utilities. Currently he is consultant in Data Science and working mainly with NLP tools. He enjoys being part of the analytics community and regularly joins conferences and specific meetups.

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