<p>In this episode 26, Thibault Schrepel talks to Ulrich Wohak about his article (co-authored with Klaus Gugler and Florian Szücs) entitled “Using Natural Language Processing to Delineate Digital Markets” (freely available at <a href="https://law.stanford.edu/computationalantitrust" target="_blank" rel="noopener noreferer">https://law.stanford.edu/computationalantitrust</a>)</p>

In this episode 26, Thibault Schrepel talks to Ulrich Wohak about his article (co-authored with Klaus Gugler and Florian Szücs) entitled “Using Natural Language Processing to Delineate Digital Markets” (freely available at https://law.stanford.edu/computationalantitrust)

<p>In this episode 26, Thibault Schrepel talks to Ulrich Wohak about his article (co-authored with Klaus Gugler and Florian Szücs) entitled “Using Natural Language Processing to Delineate Digital Markets” (freely available at <a href="https://law.stanford.edu/computationalantitrust" rel="noopener noreferrer">https://law.stanford.edu/computationalantitrust</a>)</p>

Episode 26: Defining Relevant Markets with NLP (Wohak)

The podcast that explores how computational tools impact antitrust analyses and procedures. Hosted by Dr. Thibault Schrepel.

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Episode 26: Defining Relevant Markets with NLP (Wohak)

Episode 26: Defining Relevant Markets with NLP (Wohak)