摘要
通过微博API开放平台搜集2016年中国十大智能手机品牌微博数据,采用贝叶斯情感分析法对微博内容进行情感极性分析,并对意见领袖的微博进行了群体智慧内容评价,研究表明,公众最关心的是个人和专业性微博,公众情感负极性与意见领袖中个人和专业性微博负极性呈现出显著的正相关。
By using the Naive Bayesian way,this paper makes a sentiment analysis of microblog＇s data of Chinese top 10 smartphone brand in 2016 searched from the microblog＇s API.A crowd intelligence evaluation of top microblogs（opinion leaders） for each firm is also made. The study indicates that the personal and professional microblog are most popular among the public. Personal and professional users＇ microblog carrying negative sentiment have a positive relationship with the overall negative sentiment for each firm.
作者
秦佳良
张玉臣
QIN Jia-liang;ZHANG Yu-chen(School of Economics and Management,Tongji University,Shanghai 20009)
出处
《软科学》
CSSCI
北大核心
2018年第8期101-105,共5页
Soft Science
基金
国家社会科学基金重大项目(12&ZD073)
国家创新方法工作专项项目(2015IM020400)
关键词
微博
情感分析
群体智慧
智能手机
microblog
sentiment analysis
crowd intelligence
smartphone
