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…
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…
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…
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…
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