[目的/意義]隨著社交媒體的發展,突發事件經由網絡傳播引發網絡輿情,網絡輿情的預警是引導網絡輿情,進而管控突發事件發展態勢的前提,在大數據環境中,突發事件網絡輿情的預警需要大數據分析,其對應急決策起著關鍵性的作用。[方法/過程]從國內外學者的研究經驗出發,文章將文獻研究和案例研究結合,強調網絡輿情預警中的大數據分析既需要大數據分析能力,更需要在網絡輿情預警的數據采集、輿情分析和監測預警三階段中的大數據分析技術支撐。[結果/結論]著眼于網絡輿情預警的特點,將"有形資源"——大數據分析技術和"無形資源"——大數據分析能力兩者融合突破網絡輿情預警的傳統方式,構建突發事件網絡輿情預警分析體系,增強突發事件網絡輿情預警的有效性。

[Purpose/significance] With the development of social media,emergent events disseminate through the network and then cause network public opinion. The early warning of network public opinion is the precondition to guide the network public opinion,and further controls the development situation. In the big data environment,emergency network public opinion warning needs BDA( Big Data Analysis),which plays a critical role in decision-making. [Method/process]Starting from the research experience of domestic and foreign scholars,this paper combines literature research and case studies,and emphasizes that network public opinion warning of big data analysis needs both large data analysis ability,and more importantly the technical support in the stages of data collection,public opinion analysis and monitoring. [Result/conclusion] Focusing on the characteristics of network early warning,the paper fuses the"tangible resources"like large data analysis technology with"intangible resources"like big data analysis ability to break the traditional way of network early warning,which enhances the effectiveness of network public opinion warning.