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

Journal: JMIR infodemiology
PMID:

Abstract

BACKGROUND: Nutritional yeast, an inactive form of Saccharomyces cerevisiae, has recently become increasingly popular as a food supplement and healthy ingredient, especially among individuals following plant-based diets. It is valued for its health benefits and high content of B vitamins, minerals, and protein. Social media has enabled people to share information and personal experiences at an unprecedented level, further amplifying conversations around health and nutrition. With the rise of social media, data mining techniques like natural language processing and machine learning are increasingly used for analyzing the large amounts of information generated on these platforms.

Authors

  • Jean-François Jeanne
    Gnosis by Lesaffre, Lesaffre Group, Marcq-en-Baroeul, France.
  • Joelle Malaab
    Kap Code, 4 rue de Cléry, Paris, 75002, France, 33 01 44 82 74 74.
  • Antoine Vanhove
    Gnosis by Lesaffre, Lesaffre Group, Marcq-en-Baroeul, France.
  • Florian Mourey
    Gnosis by Lesaffre, Lesaffre Group, Marcq-en-Baroeul, France.
  • Manissa Talmatkadi
    Kap Code, 4 rue de Cléry, Paris, 75002, France, 33 01 44 82 74 74.
  • Stéphane Schück
    Kap Code, 4 rue de Cléry, Paris, 75002, France, 33 01 44 82 74 74.