意见领袖识别中的文本倾向性研究  

Research of text orientation in opinion leaders identification

作　　者：樊兴华[1] 吴昊[1] 

机构地区：[1]重庆邮电大学中文信息处理研究所计算智能重庆市重点实验室,重庆400065

出　　处：《计算机应用研究》2013年第9期2613-2615,2636,共4页Application Research of Computers

基　　金：国家自然科学基金资助项目(60703010);重庆市自然科学基金计划项目(CSTC,2009BB2079)

摘　　要：由于网络用户讨论的主题变化频繁,因此在进行倾向性判定时,难以预先构造出满足各种情况的训练语料。针对上述问题,提出了一种意见领袖识别中的文本倾向性判定方法,进而建立考虑回复帖子倾向性的意见领袖发现模型。该模型建立在影响力扩散概率模型(IDPM)上,模型中引入了考虑帖子倾向性的有效系数。实验表明,该方法是有效的,其前50个的平均精确率相对分别提高了10.97%和5.45%。Because the topics changed rapidly which network users discussed, it was difficult to pre-constuct the training cor- pus to meet a variety of situations. To solve the problem above, this paper proposed a method to analyze the orientation in the opinion leaders identification, then established an opinion leader identification model which was based on the influence diffu- sion probability model （IDPM） and introducing the effective coefficient considering the orientation of the replied comments. The experiments show that the proposed method is effective, the average precisions of the top 50 numbers increased by 10. 97% and 5.45% respectively.

关 键 词：意见领袖识别 倾向性分析 影响力扩散概率模型 

分 类 号：TP301[自动化与计算机技术—计算机系统结构]