摘要：

网络论坛的话题热度趋势建模是现有网络舆情分析的主要内容之一,现有话题热度趋势建模方法忽略了话题观点倾向对话题热度的影响,导致拟合的准确性不高。为此,提出一种融合观点倾向的话题热度趋势建模方法。话题的观点倾向可通过情感倾向分类方法获取,将情感倾向信息融入话题热度的计算中,准确地体现情感倾向对热度的影响。利用Gamma分布模型拟合热度变化曲线,实验结果表明,融合观点倾向后的方法较现有的高斯模型能够更准确地拟合话题的热度趋势。

关键词: 舆情分析, 话题热度, 观点倾向, 情感分类, 高斯模型, Gamma分布

Abstract:

The hotness trend modeling of topic in online forums is one of the main contents of the existing public opinion analysis.Under the situation that the existing methods ignore the influence of opinion tendency on the topic hotness,a hotness trend modeling approach for the topic is proposed considering opinion tendency.The sentimental tendency of topics can be obtained by sentimental classification methods.This sentimental information is leveraged over the hotness computation,which flexibly reflects the influence of sentimental tendency on topic hotness.Gamma distribution is used to fit the hotness curve.Experimental results show that the proposed method can fit the hotness trend more accurately compared with the Gauss model.

Key words: public opinion analysis, topic hotness, opinion tendency, sentimental classification, Gauss model, Gamma distribution

中图分类号: 

• TP391