Analysis of opinions from questionnaire surveys of farming candidates using cross tabulation system

Makoto Okada, Sachio Hirokawa, Kiyota Hashimoto

    Research output: Chapter in Book/Report/Conference proceedingConference contribution


    In Japan, agricultural activation poses a big problem and the increase in new-entrants-to-agriculture persons is expected. This paper analyzes questionnaire surveys of those who want to start working in agriculture to figure out the difficulties and anxiety they have. The questionnaires consist of the categorical data, such as status of their willingness to be a farmer, their age and sex and the free texts that are written by person who answered several sets of questions. Categories and free text question items are considered as viewpoints in this paper. Two viewpoints are selected to construct a cross tabulation of a search result. The number of the questionnaires that matches the two conditions is displayed in the cell of the cross table. All possible cross tables can be shown as a result. A specified cross table is shown if the user determines a pair of viewpoints. This paper reports case studies which are hard to achieve by simple keyword search.

    Original languageEnglish
    Title of host publicationIntelligent Interactive Multimedia Systems and Services. Proceedings of the 6th International Conference on Intelligent Interactive Multimedia Systems and Services (IIMSS2013)
    EditorsGeorge Tsihrintzis, Maria Virvou, Toyohide Watanabe, Lakhmi Jain, Robert Howlett
    Number of pages11
    Publication statusPublished - 2013

    Publication series

    NameFrontiers in Artificial Intelligence and Applications
    ISSN (Print)0922-6389

    All Science Journal Classification (ASJC) codes

    • Artificial Intelligence


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