This paper is in the following e-collection/theme issue:

Infoveillance and Social Listening (303) Infodemiology and Infoveillance (1535) Machine Learning (2014) Medicine 2.0: Social Media, Open, Participatory, Collaborative Medicine (1890)

Published on in Vol 5 (2025)

Preprints (earlier versions) of this paper are available at https://preprints.jmir.org/preprint/60528, first published .
Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study

Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study

Natural Language Processing and Machine Learning Techniques for Analyzing Conversations About Nutritional Yeasts in the United States and France: Retrospective Social Media Listening Study

Authors of this article:

Jean-François Jeanne1 Author Orcid Image ;   Joelle Malaab2 Author Orcid Image ;   Antoine Vanhove1 Author Orcid Image ;   Florian Mourey1 Author Orcid Image ;   Manissa Talmatkadi2 Author Orcid Image ;   Stéphane Schück2 Author Orcid Image
Article Authors Cited by (2) Tweetations Metrics

Journals

  1. Mititiuc C, Dabija A, Avramia I. Unconventional Yeast in the Bakery Industry: A Review. Applied Sciences 2025;15(17):9732 View

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