【摘要】 以2015年在中国发生过的3起网络舆情事件的反转情况为例,通过收集当事人的意图目标和倾向性,以及网民评论信息的关键词,利用模糊聚类分析方法作出以支持、反对、中立等为评论域关键词的评判分类.分类结果表明:网民对于舆情事件都有自己明确的态度,即他们不是持有支持的态度,就是持有反对的态度,只有少部分网民保持中立的态度.而网民的这些态度都是基于网络媒体所提供的信息发生转变的,很多网民从最开始持有的支持态度到后来转变为反对的态度.最后,阐释了舆情反转的现象和规律,并提出了4点相关建议.更多还原

【Abstract】 By taking the three network public opinion inversion incidents happened in China in 2015 as examples,collecting the intentions and orientation of the parties and the keywords of the netizens comments information,the method of fuzzy cluster analysis is applied to make judgment with the classification comment domain keywords as "support","opposite" and "neutral".The classification results show that the netizens have their own definite attitudes for the three public opinion events,i.e.,they hold only one attitude of their own support or against opinions.There is a small number of netizens who remain their own neutral attitude.However,that the attitudes of the netizens changed later is on the basis of the information provided by the network media.Many netizens changed their holding attitudes from the support at the beginning to the opposite ones later.Finally,the phenomenon and law of public opinion inversion are illustrated,and four related suggestions are put forward.更多还原