烟草科技2019，Vol.52Issue(8)：106-113,8.
基于互联网数据的斗烟市场偏好性分析
Internet data sourced market preference analysis for pipe tobacco
苏凯 1付博 1杨永锋 2彭桂新 2金一骁 1武云杰 1于建军 1于建春2
作者信息
- 1. 河南农业大学烟草学院,郑州市金水区文化路95号 450002
- 2. 河南中烟工业有限责任公司技术中心,郑州经济技术开发区第三大街8号 450000
- 折叠
摘要
Abstract
In order to study consumer’s preference for pipe tobacco products, a web crawler based on Python programming language was used to obtain the pipe tobacco product information and network evaluation data. The consumers’preference for brand and formula type of pipe tobacco products were analyzed based on the data. In addition, consumer preference for flavor types and formula compositions of pipe tobacco were also analyzed by word frequency analysis method and association rule mining method. The results showed that:1) Pipe tobacco products from large tobacco companies had higher market shares. 2) Consumers presented obvious preference for flavor types. The pipe tobacco products with original taste (None) were favored. In condiment pipe tobacco products, Vanilla, Rum, Cocoa/Chocolate and Citrus-flavored pipe tobacco products were popular. The pipe tobacco products of Aromatic, English and Straight Virginia were more popular and had higher market acceptance. 3) From the formula compositions, tobacco leaf materials, such as Virginia, Latakia, Burley and Oriental/Turkish were commonly used. The original types of pipe tobacco products formulated with the above leaf materials were most popular in the market. The direction for developing pipe tobacco products could be obtained through the analysis of the market preference on the basis of internet data.关键词
斗烟/Python编程语言/市场偏好性/互联网数据/词频分析法/关联规则方法/产品设计Key words
Pipe tobacco/Python programming language/Market preference/Internet data/Word frequency analysis/Association rule method/Product design分类
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苏凯,付博,杨永锋,彭桂新,金一骁,武云杰,于建军,于建春..基于互联网数据的斗烟市场偏好性分析[J].烟草科技,2019,52(8):106-113,8.
