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    1. Utilization of text mining as a big data analysis tool for food science and nutrition

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    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Tao, Dandan (author), Yang, Pengkun (author), and Feng, Hao (author)
    Format:
    Journal article
    Publication Date:
    2020
    Published:
    International
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 166 Document Number: D11679
    Journal Title:
    Comprehensive Reviews of Food Science and Food Safety
    Journal Title Details:
    19 : 875-894
    Notes:
    20 pages., Via online from the University of Illinois website., Authors' review provided an overview of the data sources, computational methods, and applications of text data in the food industry. Applications of text data analysis were illustrated with respect to food safety and food fraud surveillance, dietary pattern characterization, consumer-opinion mining, new-product development, food knowledge discovery, food supply-chain management, and online food systems.

    2. Web data mining and social media analysis for better communication in food safety crises

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    Collection:
    Agricultural Communications Documentation Center (ACDC)
    Contributers:
    Meyer, Christian (author), Hamer, Martin (author), Terlau, Wiltrud (author), Raithel, Johannes (author), and Pongratz, Patrick (author)
    Format:
    Paper
    Publication Date:
    2015
    Published:
    Germany
    Location:
    Agricultural Communications Documentation Center, Funk Library, University of Illinois Box: 145 Document Number: D06581
    Notes:
    Presented at the International European Forum on System Dynamics and Innovation in Food Networks&gt;2015 International European Forum, Innsbruk-Igls, Austria, February 9-13, 2015. 10 pages.