1. Understanding and planning
Natural language processing and its application
Jamil Zaghir
In data science, it's common to have to process and exploit data with textual content. A major challenge is to make this data usable: this is the aim of Natural Language Processing. The emergence of machine learning approaches has been beneficial for automatic text processing, but it is essential to understand how these methods work and to analyze the different options they offer.
Training Suggestion
Online Course
"Traitement automatique du langage"
Semester-long course available here.
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In-person Course
« Intelligence artificielle et science des données en médecine »
Semester-long interdisciplinary course, open to students from all faculties. Due to its pedagogical and evaluation setup, this course is not available on Mediaserver.
For more information