摘要:
本文采用Python语言所提供的BeautifulSoup网页爬虫工具、Wordcloud词云分析工具、以及Jieba汉字处理工具，从淘宝官网下的天猫各大品牌旗舰店网站中采集消费者评价组成数据，选取了六大知名护肤品品牌，对采集的数据通过预处理，统计出高频词汇，制作词云图，据以分析消费者对不同国家护肤品品牌的看法，探索中国护肤品品牌的未来发展道路。
Abstract:
In this paper, the BeautifulSoup web crawler tool, Wordcloud word cloud analysis tool and Jieba Chinese character processing tool provided by Python language are used to collect consumer evaluation component data from Tmall’s flagship stores under Taobao’s official website, and six famous skin care brands are selected. After preprocessing the collected data, high-frequency words are counted and word cloud maps are made. This paper analyzes consumers’ views on skin care brands in different countries and explores the future development path of skin care brands in China.