摘要
消费者个性化的需求、泛娱乐时代丰富的内容促使我国网红快速发展,他们在社交媒体上形成了广泛的影响力。然而在当前互联网及移动互联网情境下,现有网红研究缺乏以社交媒体大数据为依据进行的传播过程和消费者情感分析。文章以网红餐饮品牌"喜茶"为例,运用爬虫技术收集来自新浪微博、腾讯微信等媒体平台上有效文本数据46892条,通过数据清洗、文本挖掘及可视化分析,对网红消费者进行了画像分析,同时发现关键意见领袖的关注、转发对网红社交媒体传播具有重要作用,并且消费者在社交媒体讨论网红时具有不同的情感倾向,根据消费者态度、行为及情感倾向文章将消费者分为五类。基于此,文章提出网红品牌营销管理建议。
Consumers personalized demand and rich content in the extensive entertainment era have boosted the rapid development of web celebrities in China.Web celebrities have gained wide influence in social media.However,under the internet and mobile internet context,in the current research about web celebrities there is little analysis of social communication and sentiment analysis based on big data from social media.Taking the popular milk tea brand HEYTEA as an example,we totally collected 46892 valid text data from WeChat and Sina micro-blog by crawler technology.After data cleaning,text mining and visual analysis,we made portrait analysis for web celebrity consumers,and we also found the key opinion leader being very useful in the information communication of web celebrities,and consumers expressed different sentiment orientation when discussing web celebrities on social media.We classified the consumers into five types based on consumer attitude,consumer behavior and the sentiment analysis.Finally,this article presents the managerial implications to web the celebrity brand management.
作者
周延风
张婷
陈少娜
ZHOU Yan-feng;ZHANG Ting;CHEN Shao-na(Business School,Sun Yat-sen University,Guangzhou 510275,China)
出处
《商业经济与管理》
CSSCI
北大核心
2018年第4期70-80,共11页
Journal of Business Economics
基金
国家自然科学基金"危机情境下企业社会责任对品牌的庇护及修复作用研究"(71372153)
教育部人文社会科学基金项目"中国慈善组织由‘行政化’向‘市场化’转型的动因及路径分析"(13YJA630147)
广东省自然科学基金"危机事件后慈善组织信任的修复机制及其对捐赠行为影响研究"(2016A030313764)
关键词
网红
情感分析
社交媒体
用户生成内容
意见领袖
web celebrities
sentiment analysis
social media
user-generated content
opinion leader