2008
DOI: 10.1016/j.foodqual.2007.07.006
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Rating of products through scores and free-text assertions: Comparing and combining both

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Cited by 64 publications
(28 citation statements)
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“…The hedonic numbering scales were 1 to 7 (7 for the most preferred and 1 for the least preferred). According to method of sensory analysis explained by Pecore et al (2006) and Bécue-Bertauta et al (2008), each sample was numbered with a randomized three-digit numbers. Data collected were evaluated by two-factor without replication ANOVA and t-Test was performed to determine significant differences at p<0.05.…”
Section: Sensory Analysismentioning
confidence: 99%
“…The hedonic numbering scales were 1 to 7 (7 for the most preferred and 1 for the least preferred). According to method of sensory analysis explained by Pecore et al (2006) and Bécue-Bertauta et al (2008), each sample was numbered with a randomized three-digit numbers. Data collected were evaluated by two-factor without replication ANOVA and t-Test was performed to determine significant differences at p<0.05.…”
Section: Sensory Analysismentioning
confidence: 99%
“…When describing wine taste, experts tend to relate it to a prototype rather than stating its properties. In another interesting piece of work (Be´cue-Bertaut, et al, 2008), the researchers calculated synthetic liking scores by studying the correlations between pairs of original scores and word groups/counts in free text comments and then comparing these synthetic scores with the original ratings for the sample set of wines studied. The authors used multiple factor analysis to establish the correlations between each pair of comments and their respective liking scores.…”
Section: The Effects Of Climate Changementioning
confidence: 99%
“…When describing wine taste, experts tend to relate it to a prototype rather than stating its properties. In another interesting piece of work [19], researchers looked at calculating synthetic liking scores by studying the correlations between pairs of original scores and word groups/counts in free text comments and then compared these synthetic scores with that of the original ones for the sample set of wines studied. The authors used multiple factor analysis to establish the correlations between each pair of comments and their respective liking scores.…”
Section: ) Analysis Of Wine Taster Descriptions In Free-textmentioning
confidence: 99%