Quantifying the effect of meaning variation in survey analysis

Henri Sintonen, Juha Raitio, Timo Honkela

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

    1 Citation (Scopus)


    Surveys are widely conducted as a means to obtain information on thoughts, opinions and feelings of people. The representativeness of a sample is a major concern in using surveys. In this article, we consider meaning variation which is another potentially remarkable but less studied source of problems. We use Grounded Intersubjective Concept Analysis (GICA) method to quantify meaning variation and demonstrate the effect on survey analysis through a case study in which food prices and food concepts are considered.

    Original languageEnglish
    Title of host publicationArtificial Neural Networks and Machine Learning, ICANN 2014 - 24th International Conference on Artificial Neural Networks, Proceedings
    EditorsStefan Wermter, Cornelius Weber, Wlodzislav Duch, Timo Honkela, Petia Koprinkova-Hristova, Sven Magg, Günther Palm, Alessandro E. P. Villa
    PublisherSpringer Verlag
    Number of pages8
    ISBN (Electronic)978-3-319-11179-7
    ISBN (Print)9783319111780
    Publication statusPublished - 2014
    MoE publication typeA4 Article in a conference publication
    EventInternational Conference on Artificial Neural Networks - Hamburg, Germany
    Duration: 15 Sep 201419 Sep 2014
    Conference number: 24

    Publication series

    NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
    Volume8681 LNCS
    ISSN (Print)03029743
    ISSN (Electronic)16113349


    ConferenceInternational Conference on Artificial Neural Networks
    Abbreviated titleICANN


    • computational epistemology
    • conceptual spaces
    • meaning variation
    • questionnaire data
    • Survey analysis

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