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高校网络舆情事件频发,舆情事件处置稍有不慎将颠覆高校的正面形象。大数据技术为高校的舆情预警与处置提供了技术支撑。基于此,本文建立了一套基于大数据的高校舆情预警与处置机制。通过动态监测多平台网络舆情数据建立舆情数据库,在深入分析舆情数据和数据细粒化后,可及时发现高校潜在舆情风险,形成多层面数据库匹配的舆情处置预案。
Public opinion on university networks is frequent, and the slightest mistake in the handling of public opinion events will subvert the positive image of colleges and universities. Big data technology provides technical support for the early warning and disposal of public opinion in colleges and universities. Based on this, this paper establishes a set of mechanisms for early warning and disposal of public opinion in universities based on big data. By dynamically monitoring the public opinion database of multi-platform network, we can establish a database of public opinion by analyzing the public opinion data of multi-platform network dynamically. After deeply analyzing the public opinion data and data, we can discover the potential public opinion risks in a timely manner and form a multi-level database matching public opinion disposal plan.