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Connecting flavors in social media: A cross cultural study with beer pairing

机译:连接社交媒体中的风味:啤酒搭配的跨文化研究

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摘要

Culture is an important driver of food preferences and largely determines exposure to ingredients combinations. The cultural variety in culinary practices across countries raises the question of how flavor combinations are built and how they transcend individual differences in consumers' preferences. For example, in Latin America, despite having similar cultures and language, the diversity in culinary practices leads to different flavor combinations across nations. Therefore, we hypothesize that each country will show different preferences in flavor combinations that could be understood by social media exploration as an innovative approach.One study was conducted exploring social media in four countries (Argentina, Colombia, Peru, and Mexico) on a one-year basis, using a list of fifty-seven keywords associated with beer flavors. In a first analysis, the list of mentions from consumers was categorized in frequencies of flavors per country and analyzed using correspondence analysis (CA) and agglomerative hierarchical clustering (AHC). Results showed that the countries could be clustered in three groups. Cluster 1 with Mexico and Peru, and the rest of the countries in different clusters. The co-occurrence of paired flavors in social media was used to build a similarity matrix that was analyzed using multidimensional scaling (MDS) in order to find a pattern of pairing per country. The obtained map was useful to understand the cultural differences in flavor paring per country. Overall, the analysis of flavor pairing through social media was an effective technique to access the structure of flavor pairing for beer in different countries.
机译:文化是食物偏好的重要驱动力,并在很大程度上决定了对食材组合的接触。各国烹饪实践中的文化差异引发了以下问题:风味组合的构建方式以及它们如何超越消费者偏好的个体差异。例如,在拉丁美洲,尽管具有相似的文化和语言,但烹饪方式的多样性导致各个国家的风味组合不同。因此,我们假设每个国家都会在风味组合中表现出不同的偏好,社交媒体探索可以将其理解为一种创新方法。一项研究是在四个国家(阿根廷,哥伦比亚,秘鲁和墨西哥)中探索一个社交媒体年,使用与啤酒口味相关的57个关键字列表。在第一个分析中,来自消费者的提及列表按每个国家/地区的口味频率进行分类,并使用对应分析(CA)和聚集层次聚类(AHC)进行分析。结果表明,这些国家可以分为三类。第一个类别是墨西哥和秘鲁,其他国家/地区位于不同的类别中。社交媒体中配对风味的共现用于建立相似度矩阵,并使用多维标度(MDS)对其进行了分析,以便找到每个国家/地区的配对模式。所获得的地图有助于了解每个国家/地区在香精配比方面的文化差异。总体而言,通过社交媒体进行的风味配对分析是访问不同国家啤酒风味配对结构的有效技术。

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