Creating Named Entity Recognition Systems with Python
This course shows how data professionals and software developers make use of the Python language in order to create Named Entity Recognition (NER) systems by leveraging the language’s powerful set of open-source NLP libraries.
What you'll learn
In this course, Creating Named Entity Recognition Systems with Python, you'll look at how data professionals and software developers make use of the Python language.
First, you'll explore the unique ability of such systems to perform information retrieval by identifying specific classes of entities in texts.
Next, you'll learn how to install prerequisite tools and how to create in a step-by-step manner all the specific components of performant NER systems. Finally, you'll be able to create Named Entity Recognition (NER) systems by leveraging the language’s powerful set of open-source NLP libraries. When you’re finished with this course, you’ll have the skills and knowledge of creating named entity recognition systems with Python
Table of contents
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.