基于关联规则的政务微博公众评论观点挖掘  

Using Association Rule to Mine Opinions in Public Comments of Government Microblogging

作　　者：汪祖柱[1] 阮振秋 WANG Zu- zhu R UAN Zhen-qiu(School of Management Anhui University, Hefei 230039, Chin)

机构地区：[1]安徽大学管理学院,安徽合肥230039

出　　处：《情报科学》2017年第8期19-22,共4页Information Science

基　　金：2015年度教育部人文社会科学研究规划项基金项目(15YJA870002)

摘　　要：【目的/意义】为进一步加强政府获取公众信息的能力、有效提高政民互动的效率。【方法/过程】使用文本分析、关联规则Apriori方法对政务微博"平安北京"的公众评论文本数据进行用户观点的挖掘与分析。【结果/结论】最终从评论数据中识别出公众对事件的关注点、公众期待等有助于政府理解民意的相关信息。[Purpose/significance] In order to strengthen the government＇s ability to acquire public information and effi- ciently improve the efficiency of interaction between government and the public. [Method/process]The paper uses text min- ing and Apriori to mine the opinions of public online reviews on one government affair microblog ＂Peace Beijing＂. [Results/ conclusion ] The paper finds the related information which is helpful for government to understand the will of the people such as concerns and expectation of the public on different events from the comment data

关 键 词：政务微博 数据挖掘 关联规则 公众观点 

分 类 号：D630[政治法律—政治学]