摘要
对目前微博信息挖掘技术中的微博内容挖掘及用户关系挖掘的研究情况及相关方法进行介绍及归纳,认为其中微博内容挖掘主要包括微博短文本挖掘、话题趋势检测、情感倾向性分析等方面,用户关系挖掘主要包括用户群体特性、用户社区发现、意见领袖挖掘及微博传播模式等方面;指出这些方法的局限性,并对微博信息挖掘的发展进行展望,以为进一步研究提供参考。
Microbiog data mining techniques can be utilized to detect the hidden pattern and users＇ relationship of microblogs. The paper conducts an introduction and summarization to relevant work on microblogs content mining, which includes short text mining, topic detection and sentiment analysis, and its user relationship discovering, including user characteristics analysis, community detection, opinion leader detection and information transmission patterns. The paper also proposes some defects and perspectives of recent work, which can provide future work with some guidelines.
出处
《图书情报工作》
CSSCI
北大核心
2012年第17期136-142,共7页
Library and Information Service
基金
国家自然科学基金项目"不平衡数据的学习算法及应用研究"(项目编号:61070061)研究成果之一
关键词
微博数据挖掘话题检测倾向性分析社区发现意见领袖
microblog data mining topic detection sentiment analysis community detection opinion leader
