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Michael Gagnon

Michael completed his PhD in Linguistics in 2013 at the University of Maryland, with specializations in Syntax, Semantics and Pragmatics. Since then he has been pursuing a variety of challenges as a university professor, a Natural Language Understanding engineer for voice applications, and, nowadays, as a business analyst and computational linguist working with Magellan Text-Mining at OpenText.

Auto-Classifying data with Magellan and beyond: Preparing for a project

In previous posts in the series, we’ve discussed advantages brought by Auto-Classification projects, and different types of solutions and Machine Learning (ML) algorithms available at…

April 9, 2019 6 minutes read
Auto-Classifying data with Magellan and beyond: Preparing for a project

Auto-Classifying data with Magellan and beyond: Preparing for a project

In previous posts in the series, we’ve discussed advantages brought by Auto-Classification projects, and different types of solutions and Machine Learning (ML) algorithms available at…

April 9, 2019 6 minutes read
Auto-Classifying data with Magellan and beyond: What approaches are there?

Auto-Classifying data with Magellan and beyond: What approaches are there?

In the first installment of this series, we considered the reasons why you might want to turn to auto-classification to help manage your data. This…

March 7, 2019 5 minutes read
Auto-Classifying data with Magellan and beyond

Auto-Classifying data with Magellan and beyond

In today’s digital world, the ability to establish defensible and transparent processes to auto-classify digital content is of growing importance to the intelligent and connected…

February 26, 2019 5 minutes read

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