摘要
为丰富微博转发机制的研究,引入企业官方微博作为研究对象,探究微博的内容文本特征、形式化特征及时间性特征对微博转发影响的大小及影响规则。分析汇总影响微博转发的全特征集合,在此基础上进行特征选择和微博转发预测,并对不同产品的微博转发预测模型进行对比分析,以期挖掘各产品自适性的转发影响因子,为企业微博营销提供策略支持。
In order to enrich the research of microblog message forwarding mechanism, this article employs enterprisesˊmicroblogs as the research subject and aims at exploring the impact of text features, format features and temporal features on microblogs forwarding and the relevant rules. The paper firstly analyzes and aggregates the whole feature set and then perform feature selection and microblog forwarding prediction, then conducts a comparative analysis of forwarding forecast models on different products so as to dig out self-influential factors and providing microblog marketing advices for enterprises.
出处
《情报杂志》
CSSCI
北大核心
2014年第12期127-132,共6页
Journal of Intelligence
基金
北京自然科学基金项目"基于多源信息融合的北京公共危机事件情境感知研究"(编号:9142014)研究成果之一
关键词
企业微博
特征选择
最优微博特征集合
决策树算法
微博转发预测模型
微博转发规则
enterprisesˊmicroblog
feature selection
optimal microblog feature set
decision tree algorithm
microblogˊs message forwarding forecast model
microblog message forwarding rules