摘要
深入了解不同参与维度用户对微博服务的兴趣差异,对于各行各业更好地利用新媒体为用户提供个性化服务具有重要意义。以高校图书馆微博为例,采集世界一流大学建设高校图书馆微博的全样本数据,借助文本挖掘技术和可视化工具,分析不同参与维度下用户关注的微博语义特征。从微博文本中识别出反映各维度用户的兴趣特征词汇,并且成功获取不同参与维度用户的兴趣关注点:活跃用户关注于有奖竞赛、参考咨询、电子资源、交流分享,普通用户则更关注舆论热点、福利体验、活动投票、考研毕业。
Understanding of user’s interest and preferences for microblog services has important value for the industry to make better use of new media to provide personalized services for users.Taking the library Weibo as an example,the full sample data of the microblog of university libraries in a world-class university were collected.Combining text mining techniques and visualization tools,the research analyzed differences in posts and comments of microblogs under different participating dimensions.The study found that there are feature vocabularies in the library microblog and comment text reflecting the differences in the topics,and successfully identifying the focus topics of users with different participation dimensions.Active users pay attention to prize competition,reference service,electronic resources,social interaction,and ordinary users are more concerned about public opinion,welfare,voting event,postgraduate examination and graduation.
作者
周海晨
李永明
ZHOU Haichen;LI Yongming(College of Information science&Technology,Nanjing Agricultural University,Nanjing 210095,China)
出处
《情报工程》
2019年第3期4-12,共9页
Technology Intelligence Engineering
基金
国家留学基金委公派出国留学项目（201806850077）
江苏省研究生科研与实践创新计划项目（KYCX18_0740）
关键词
用户参与
微博
文本挖掘
差异识别
高校图书馆
User participation
micro-blog
text mining
difference identification
university library
