摘要
针对以微博为对象的分析挖掘,提出了"以人为本"的微博计算模型,即以微博主体为微博计算的主要对象,研究微博博主个性化表示模型,博主情绪感知算法、及微博内容分析等关键技术,综述了微博计算已有的研究进展。创新之处在于突破了纯粹内容分析的局限,更好地适应了微博计算的需求。
This paper brings forth a novel computing schema based on social entities in microblog computing. And then research on microhlog entities personality modeling, emotion detection, and further develop content analysis based on social entities. Such computing schema focused on social entities achieved better performance than information centered computing with microblog a- nalysis and mining. The contribution to the pure content analysis, and social entities centered computation is more suitable for microblog computing.
出处
《复杂系统与复杂性科学》
EI
CSCD
北大核心
2012年第4期84-90,共7页
Complex Systems and Complexity Science
基金
国家自然科学基金面上项目(61272362)
国家973重点基础研究发展计划(2013CB329606)
新疆自治区高新技术计划项目(201212124)
关键词
微博计算
个性化建模
主体行为模式挖掘
数据可视化
microblog computing
personalized modeling
behavior model mining
data visuali-zing