Exploring cider website descriptions using a novel text mining approach

IF 1.6 3区 农林科学 Q3 FOOD SCIENCE & TECHNOLOGY
Martha D. Calvert, Elizabeth Cole, Clinton L. Neill, Amanda C. Stewart, Susan R. Whitehead, Jacob Lahne
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引用次数: 1

Abstract

Rapid methods of text analysis are increasingly important tools for efficiently extracting and understanding communication within the food and beverage space. This study aimed to use frequency-based text mining and biterm topic modeling (BTM) as tools for analyzing how cider products are communicated and marketed on cider-producer websites for products made in Virginia, Vermont, and New York. BTM has been previously used to explore topics in small corpora of text data, and frequency-based text mining is efficient for exploring patterns of text across different documents or filters. The present dataset comprised 1115 cider products and their website descriptions extracted from 124 total cider-producer websites during 2020 and 2021. Results of the text mining analyses suggest that cider website descriptions emphasize food-pairing, production, and sensory quality information. Altogether, this research presents the text mining approaches for exploring food and beverage communication.

Practical applications

This research will be valuable to stakeholders in the United States' cider industry by providing relevant insight as to how cider marketing and sensory communication varies based on extrinsic product factors, such as geography and packaging. This research also demonstrates the efficiency and potential of text mining tools for exploring language and communication related to foods, beverages, and sensory quality. Further, this research provides a framework for extracting sensory-specific language from a large corpus of data, which may be adopted by other researchers wishing to apply rapid descriptive methods in the sensory, quality, and consumer research fields.

Abstract Image

使用新颖的文本挖掘方法探索苹果酒网站描述
快速的文本分析方法对于有效地提取和理解食品和饮料空间中的交流越来越重要。本研究旨在使用基于频率的文本挖掘和biterm主题建模(BTM)作为工具来分析苹果酒产品是如何在弗吉尼亚州、佛蒙特州和纽约州的苹果酒生产商网站上进行沟通和营销的。BTM以前用于探索小型文本数据语料库中的主题,基于频率的文本挖掘对于探索跨不同文档或过滤器的文本模式非常有效。目前的数据集包括1115种苹果酒产品及其网站描述,提取自2020年至2021年期间的124家苹果酒生产商网站。文本挖掘分析的结果表明,苹果酒网站的描述强调食物搭配、生产和感官质量信息。总之,本研究提出了文本挖掘方法来探索餐饮沟通。本研究将对美国苹果酒行业的利益相关者有价值,因为它提供了有关苹果酒营销和感官沟通如何根据外部产品因素(如地理和包装)而变化的相关见解。本研究还证明了文本挖掘工具在探索与食品、饮料和感官质量相关的语言和交流方面的效率和潜力。此外,本研究提供了一个从大量数据中提取感官特定语言的框架,这可能被其他希望在感官、质量和消费者研究领域应用快速描述方法的研究人员所采用。
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来源期刊
Journal of Sensory Studies
Journal of Sensory Studies 工程技术-食品科技
CiteScore
3.80
自引率
20.00%
发文量
71
审稿时长
18-36 weeks
期刊介绍: The Journal of Sensory Studies publishes original research and review articles, as well as expository and tutorial papers focusing on observational and experimental studies that lead to development and application of sensory and consumer (including behavior) methods to products such as food and beverage, medical, agricultural, biological, pharmaceutical, cosmetics, or other materials; information such as marketing and consumer information; or improvement of services based on sensory methods. All papers should show some advancement of sensory science in terms of methods. The journal does NOT publish papers that focus primarily on the application of standard sensory techniques to experimental variations in products unless the authors can show a unique application of sensory in an unusual way or in a new product category where sensory methods usually have not been applied.
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