基于用户影响力的网络论坛热点话题检测

Hot Topic Detection in BBS Based on User Inf luences

在互联网信息量越来越大的情况下,如何快速、有效地从海量的信息中提取用户关注的热点话题,已成为互联网信息处理的基本任务。本文提出一种可以提高检测结果可信度的热点话题检测方法,不仅考虑了词语的出现频率,还综合考虑了用户影响力,还为话题赋予不同权重。实验结果表明了该方法的有效性。

With the increasing amount of Internet information,how to quickly and effectively extract the hot topics concerned by users from the massive information has become the basic task of Internet information processing.This paper proposes a hot topic detection method which can improve the reliability of detection results.It not only considers the frequency of words,but also comprehensively considers the influence of users,and gives different weights to the topic on this basis.Experimental results show the effectiveness of the method.