The influence of online public opinion on agricultural product safety on the society is increasing. In order to correctly guide the direction of online public opinion on agricultural products, help the agricultural sector turn from passive to active public opinion, timely prevent the spread of negative public opinion, and reduce the negative impact on public opinion hot events, it is especially important to improve the ability of monitoring agricultural products’ network public opinion. This research is based on big data technology to develop an agricultural products’ network public opinion monitoring system that can collect, process, and analyze data in real time, discover and track hot topics, and calculate and visualize the polarity of public sentiment. The use of big data technology to increase the processing speed aims to strengthen the public’s supervision of the public opinion on the network security of agricultural products and provide an effective basis of the decision-making of relevant departments.

中文翻译：

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基于大数据的农产品网络舆情监测系统

网络舆情对农产品安全的社会影响越来越大。为正确引导农产品网络舆情走向，帮助农业部门从被动舆情转为主动舆情，及时阻止负面舆情蔓延，减少舆情热点事件的负面影响，特别是提高农产品网络舆情监测能力。本研究基于大数据技术，开发了一种农产品网络舆情监测系统，能够实时采集、处理和分析数据，发现和跟踪热点话题，并计算和可视化舆情极性。