Modern Marketing 现代市场营销, 2020, 10(2), 44-51
Published Online May 2020 in Hans. http://www.hanspub.org/journal/mom
https://doi.org/10.12677/mom.2020.102007
文章引用: 林琳, 顾洁, 焦阳, 阎虎勤. 基于 Python 文本挖掘的消费者对国产彩妆品牌评价的分析[J]. 现代市场营销,
2020, 10(2): 44-51. DOI: 10.12677/mom.2020.102007
Analysis of Consumers’ Evaluation of
Domestic Cosmetics Brand Based on
Python Text Mining
Lin Lin, Jie Gu, Yang Jiao, Huqin Yan
Xiamen National Accounting Institute, Xiamen Fujian
Received: Apr. 1
st
, 2020; accepted: Apr. 15
th
, 2020; published: Apr. 22
nd
, 2020
Abstract
By using the big data mining method of Python beautifulsoup, word frequency analysis method of
Python Wordcloud, and the Chinese character analysis method of Python Jieba, this paper analyz-
es the existing problems of domestic cosmetics brands and the most important consumption hot
spots for consumers based on the feedback from consumers in various platforms. We select three
domestic cosmetics brands with different positioning—Judydoll, Perfect Diary and MAOGEPING as
reference. We use a large number of comments for text mining, word frequency statistics, analysis
of consumption hot spots, and then analyze the characteristics of each brand, target population
and suggestions for further development. Finally, according to word frequency calculation of the
proportion of different consumption hot spots, we find out the most important direction of con-
sumers. The research results can be used as a reference to improve the use experience of domestic
cosmetics brands and further develop local brands.
Keywords
Text Mining, Domestic Make-Up, Focus of Consumption
基于Python文本挖掘的消费者对国产彩妆品牌
评价的分析
林 琳,顾 洁,焦 阳,阎虎勤
厦门国家会计学院,福建 厦门
收稿日期:2020年4月1日;录用日期:2020年4月15日;发布日期:2020年4月22日