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[目的/意义]挖掘网络舆情相关信息,构建基于语义隶属度模糊推理的网络舆情监测预警评估方法,对实现网络舆情危机监测和预警具有重要意义。[方法/过程]采用扎根理论提取、筛选指标要素,使用改进的AHP法确定指标权重,通过二级模糊综合评判方法判定舆情信息的语义隶属度,建立基于语义隶属度模糊推理的网络舆情监测预警模型。[结果/结论]能够对网络舆情事件进行有效监测和预警,为网络舆情预警评估的实现和应用提供一个整体、系统的科学依据,提高网络舆情实时监控能力和管理能力。[局限]诸多平台数据和隐性指标数据未能予以完全考虑。
[Purpose / Significance] It is of great significance to mine information related to public opinion on the Internet and construct a network public opinion monitoring and early warning assessment method based on fuzzy reasoning of semantic membership, which is of great significance for monitoring and early warning of network public opinion crisis. [Method / Process] Grounded theory is used to extract and screen the index elements, the improved AHP method is used to determine the weight of the index, the semantic membership of the public opinion information is determined through the second-level fuzzy comprehensive evaluation method, and the network public opinion monitoring and early-warning based on fuzzy reasoning of the semantic membership is established model. [Results / Conclusions] It is possible to effectively monitor and early warning the public opinion on the internet and provide an overall and systematic scientific basis for the realization and application of the network public opinion early warning assessment to improve the real-time monitoring and management ability of public opinion on the Internet. [Limitations] Many platform data and implicit indicator data have not been fully considered.