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首页> 外文期刊>Food Quality and Preference >An original methodology for the analysis and interpretation of word-count based methods: multiple factor analysis for contingency tables complemented by consensual words.
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An original methodology for the analysis and interpretation of word-count based methods: multiple factor analysis for contingency tables complemented by consensual words.

机译：用于分析和解释基于单词计数的方法的原始方法：对列联表的多因素分析，并辅以达成共识的单词。

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摘要

In sensory analysis, results from word-count based methods are customary analyzed through correspondence analysis applied to the global table products x words summing the citations of a same word given by all the panelists. This approach assumes that a same word mentioned by different panelists corresponds to a similar perception, which is not always verified. To solve this problem, we propose a new methodology based on multiple factor analysis for contingency tables. This methodology offers a mean configuration of the products taking into account all the individual words but spots these that are consensual to ease the interpretation. The consensual words have the same meaning for most of the consumers as far as they describe the same products. A test, based on resampling techniques, allows for assessing the significance of the consensus. A real example shows how this methodology eases the interpretation of the word-count based methods by solving problems arising from the large diversity of vocabulary and the different meanings possibly associated to a same word
机译：在感官分析中，通常通过对全球表产品x单词的求和分析来对基于单词计数方法的结果进行常规分析，这些单词总和等于所有小组成员给出的相同单词的引用。这种方法假设不同的小组成员提到的相同单词对应于相似的感知，但并不总是得到验证。为了解决这个问题，我们提出了一种基于多因素分析的列联表新方法。该方法论提供了考虑所有单个词的产品的平均配置，但发现了一些易于理解的共识。就大多数消费者而言，他们所描述的相同产品具有相同的含义。基于重采样技术的测试可以评估共识的重要性。一个真实的例子说明了这种方法如何通过解决由于词汇量的多样性以及可能与同一个单词相关的不同含义而产生的问题，从而简化了基于单词计数方法的解释

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