摘要
对网络新闻、大众点评等信息进行数据爬取,对老字号品牌热点报道话题内容及营销相关数据进行统计分析,发现老字号品牌文本情感负向评价关键词较多、消费体验预期落差明显、品牌梯队规模极差较大等问题,据此提出密切关注老字号品牌网络舆情动态,及时做好舆论引导和采取改善措施,加大扶持规模弱小的老字号品牌企业发展力度,提升品牌知名度和社会影响力等营销建议。
A statistical analysis was made of the data related to top stories and marketing of long-established brands based on data crawling on online news and public reviews, etc., which reveals some problems like relatively more keywords with negative evaluation, an obvious gap of consumer experiences and a relatively big difference between brands. On this basis, it is proposed to pay close attention to the long-established brand online public opinion dynamics, timely guide the public opinion and take actions for improvement, increase support for the development of weak and small-scale long-established brand enterprises, enhance brand awareness and social influence, etc.
作者
张京洲
周艳丽
陈忠良
ZHANG Jing-zhou;ZHOU Yan-li;CHEN Zhong-liang(Anhui Business College of Vocational Technology,Wuhu Anhui 241000,China)
出处
《吉林工程技术师范学院学报》
2022年第8期66-68,共3页
Journal of Jilin Engineering Normal University
基金
安徽商贸职业技术学院人文社科重点项目(2022KZR14)
安徽商贸职业技术学院人文社科一般项目(2022KYR06)
安徽省高等学校省级教学示范课(2020sjsfkc30)。
关键词
网络新闻
大众点评
文本情感
老字号品牌
实证研究
Online News
Public Reviews
Textual Sentiments
Long-established Brands
Empirical Study