基于文本情感强度的微博用户转发行为预测与分析

Prediction and Analysis of Microblog User Reposting Behavior Based on Text Emotional Intensity

微博用户转发是微博信息最重要的传播方式之一。因此,对用户转发行为的分析和研究能够更好的理解微博信息传播机制。用户的转发行为受多种要素的影响,其中情感因素是关键因素。从文本情感强度的研究出发,通过对其影响用户的转发行为进行分析,构建文本情感强度分析模块和用户转发预测模块,提出基于文本情感强度的用户转发预测模型。模型在新浪微博数据集上进行实验,实验结果表明本模型相对传统模型在微博用户转发行为预测上有了一定程度的提升。

Microblog user reposting is the main form of microblog information dissemination.Analysis and research of user reposting behavior can better understand the mechanism of microblog information spreading.User reposting behavior is affected by many factors,among which emotional factors play a key role.Based on the research of text emotional intensity,this paper analyzes its impact on users'forwarding behavior,constructs a text emotional intensity analysis module and a user forwarding prediction module,and proposes a user forwarding prediction model based on text emotional intensity.Experiments based on the real data of Sina Weibo show that the proposed model is more effective than the traditional model in the prediction of Weibo users'forwarding behavior.