【作者】 时达明； 林鸿飞；

【Author】 Shi Darning Lin Hongfei (Department of Computer Science and Engineering,DaLian University of Technology,DaLian 116024)

【机构】 大连理工大学计算机科学与工程系；

【摘要】 Blog 是目前 Intemet 上一种非常重要的媒体,它可以提供给用户方便地发表自己的观点和评论, 其中的评论信息是 Blog 中重要的特点。本文提出了一种基于内容相关度和情感分析的 Blogger 声誉度研究方法,该方法充分利用 Blog 中的评论信息,首先分析评论与话题的内容相关度,然后对相关度较低的评论进行情感分析,从而滤除噪音评论。对于剩余的相关计论信息,通过分析评论的褒贬进行话题支持度计算, 最终根据计算出的话题支持度得到 Blogger 的声誉度。实验表明,本文的方法是有效的。更多还原

【Abstract】 Blog is a very important media on Internet recently,they can provide users with an easy way to express their own opinions and comments,so comments are an important characteristic in Blogs.This paper presents an approach of blogger Reputation Degree research based on content relation and emotion analysis.This approach considers comments information fully,filters noise comments by the relation degree of contents between comments and posts and does emotion analysis to comments of lower relation degree firstly,then for left comments computes Support Degree of posts by analyzing comments’ polarity,at last computes blogger Reputation Degree by Support Degree of posts above.Experiments show that the approach in this paper is effective.更多还原