What are the important aspects of big data capture analysis to negative public opinion events?
Time:2020-07-03 10:34:43 Viewed:
With the development of the Internet, online public opinion events have followed, and netizens are used to expressing their opinions and participating in related social activities on the Internet. In this environment of rapid spread of the Internet, enterprises and government units are most likely to be pushed to the forefront, and this negative online public opinion event is often a fatal blow to them. So what are the important aspects of big data capture analysis to negative public opinion events? Below, let's give you a brief introduction of the network.
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1. Forecast in advance
Pre-prediction is to use the public opinion monitoring system to strengthen the big data capture analysis and predict the public opinion information of the whole network. Before the emergence of public opinion, a public opinion monitoring plan should be made in advance to play a preventive role.
2. Perception in the event
Event perception is mainly aimed at the initial stage of public opinion generation. Based on big data capture analysis and monitoring system, it plays a role of perception, finds public opinion information quickly and timely, and grasps the relevant situation in the first time.
3. Afterwards feedback
After-the-fact feedback mainly analyzes massive data through public opinion monitoring system, and can express a large amount of abstract data intuitively through big data capture analysis, which is convenient for observation and deep excavation of the value behind the data. It is helpful for the decision-makers to control the situation and dynamics of the whole negative public opinion event and make relevant public opinion response measures.
As for the importance of big data capture analysis to negative public opinion events, Xiaobian is here!
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