基于文本挖掘的代餐产品消费预测研究
Research on Consumption Prediction of Meal Replacement Products Based on Text Mining
摘要: 研究背景:代餐食品作为新时代功能性食品发展下的衍生物,近几年市场规模急剧增长。作为功能性食品的代餐食品的形式、种类、功能不断丰富化,研究代餐食品消费者的购买关注点与消费者特征对于代餐企业找准市场定位,进行精准化的电商营销具有重要的借鉴意义。研究思路:首先通过爬取淘宝和京东的热销代餐产品的消费者评论,利用词频分析、词网络分析和对应分析对消费者购买的影响因素进行文本挖掘,为下一步的结构方程的问卷设计和模型假设提供理论支撑。利用结构方程补充分析了影响因素之间的因果关系和影响因素之间的影响强度关系。最后,基于RapidMiner软件建立了9种机器学习预测模型,进行消费者画像的特征挖掘,分析消费者特征对于购买意愿的影响。研究结论:代餐产品表现出明显的明星效应;消费者的购买影响因素存在多样性强交互关系,但价格属性是其主导因素;学历是消费者画像中最为重要的特征,其中大专到硕士学历的购买意愿最强。
Abstract:
Research background: As a derivative of the development of functional food in the new era, the market size of meal replacement food has increased dramatically in recent years. As a functional food, meal replacement food is constantly enriched in form, type and function, and it is important to study the needs of meal replacement food consumers and consumer characteristics to find the market positioning and accurate e-commerce marketing. Research Idea: Firstly, we crawled through the consumer reviews of popular meal replacement products in Taobao and Jingdong, and used word frequency analysis, word network analysis and correspondence analysis to conduct text mining on the factors influencing consumers’ purchase, which provided theoretical support for the next step of questionnaire design and model hypothesis of structural equation system. The causal relationship between the influencing factors and the influence strength relationship between the influencing factors were analyzed using the structural equation system supplement. Finally, nine machine learning prediction models based on RapidMiner software were established for feature mining of consumer portraits to analyze the influence of consumer characteristics on purchase intention. Conclusion: Meal replacement products show an obvious star effect; there is a diversity of strong interactive relationships among consumers’ purchase influencing factors, but the price attribute is the dominant factor; education is the most important characteristic in the consumer portrait, among which the purchase intention of college to master degree is the strongest.
参考文献
|
[1]
|
李中东, 张玉龙. 食品可追溯信息传递意愿及行为分析——基于284家食品生产企业的调研[J]. 企业经济, 2018, 37(11): 161-168.
|
|
[2]
|
杨浩雄, 王浩. 生鲜食品网络购买决策的关键因素研究[J]. 管理现代化, 2018, 38(4): 64-66.
|
|
[3]
|
陈从军, 孙养学, 刘军弟. 消费者对转基因食品感知风险影响因素分析[J]. 西北农林科技大学学报(社会科学版), 2015, 15(4): 105-110.
|
|
[4]
|
刘永胜, 王荷丽, 徐广姝. 基于结构方程的食品冷链透明度评价指标体系研究[J]. 科技管理研究, 2018, 38(10): 83-89.
|
|
[5]
|
张瑞娟, 许菲. 消费者转基因食品购买决策研究——转基因制度认知视角[J]. 农业技术经济, 2022(10): 69-82.
|
|
[6]
|
周伟杰, 姜慧敏, 成雨珂, 等. 基于可重复性分数阶灰色时间幂模型的中国水电消费预测研究[J]. 中国管理科学, 2023, 31(5): 279-286.
|
|
[7]
|
张红霞. 消费者对网购食品安全信任的影响因素分析[J]. 软科学, 2018, 32(5): 116-119.
|
|
[8]
|
马颖, 吴陈, 胡晶晶, 罗健初, 刘嘉. 基于SD-SEM模型的消费者食品安全风险感知的信息搜寻行为[J]. 系统工程理论与实践, 2017, 37(4): 962-971.
|
|
[9]
|
卢素兰, 刘伟平. 自媒体时代: 健康信念与绿色农产品消费行为研究——基于中介效应及结构方程模型[J]. 福建论坛(人文社会科学版), 2017(2): 59-67.
|
|
[10]
|
王建华, 邓远远, 吴林海. 意向选择、行为表达与农产品质量安全——基于Fishbein模型和结构方程模型的农户施药行为研究[J]. 软科学, 2016, 30(10): 136-140.
|
|
[11]
|
Lefcheck, J.S. (2016) piecewiseSEM: Piecewise Structural Equation Modelling in R for Ecology, Evolution, and Systematics. Methods in Ecology and Evolution, 7, 573-579. [Google Scholar] [CrossRef]
|