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Apriori算法在BBS舆情分析系统中的应用
Applications of Apriori algorithm in BBS public opinion analysis system
【摘要】 知识规则库的准确度是影响BBS舆情分析系统能否准确高效地对BBS舆情进行监控的一个重要因素.Apriori算法作为关联规则挖掘的经典算法,是发现关联规则的一种准确有效的方法.通过利用Apriori算法来动态更新知识规则库内容,实验结果表明,系统使用该算法后对BBS舆情监视的准确度有明显的提高.
【Abstract】 The accuracy of knowledge rule base is an important factor to affect BBS public opinion analysis system whether it can monitor BBS public opinion accurately and efficiently or not.As a classical association rule mining algorithm,Apriori algorithm is an accurate and effective way to discover association rules.In this paper,Apriori algorithm is used to dynamically update the contents of knowledge rule base.Experimental results show that the system obviously improves the accuracy of monitoring BBS public opinion by means of this algorithm.
【关键词】 知识规则库;
Apriori算法;
BBS舆情分析;
【Key words】 knowledge regular library; apriori algorithm; BBS public opinion analysis;
【Key words】 knowledge regular library; apriori algorithm; BBS public opinion analysis;
【基金】 辽宁省教育厅科技研究资助项目(L2010387)
- 【文献出处】 沈阳工程学院学报(自然科学版) ,Journal of Shenyang Institute of Engineering(Natural Science) , 编辑部邮箱 ,2010年03期
- 【分类号】TP393.094
- 【被引频次】8
- 【下载频次】281