Abstract: 【Purpose/significance】Enterprises and countries are paying more and more attention to the public opinion of hot online top?
ics. More and more enterprises, departments and governments use public opinion information monitoring systems to respond to the out? break of mass incidents and public opinion pressure on the Internet. In this environment, they pay more attention to Internet hot topics The monitoring of topical public opinion information can facilitate the handling of public opinion crises. The traditional monitoring method of network public opinion information is to build a word item recognition system, which has some problems, such as low moni? toring efficiency and poor monitoring effect. Therefore, this paper studies the public opinion information monitoring strategy of network hot topics【. Method/process】The constructed ISM model carries out correlation analysis on the monitoring of public opinion informa? tion on network hot topics, uses the establishment of a word recognition system, and processes sudden words through k-means algo? rithm to complete the identification of public opinion information on network hot topics, obtains the set of influencing factors on the monitoring of public opinion information on Network hot topics, Thus, the correlation matrix and explanation structure model of influ? encing factors of public opinion information monitoring are constructed, and the public opinion information monitoring of hot topics on the network is completed.【Result/conclusion】The results show that public opinion enthusiasm, public opinion attention, public opin? ion influence, public opinion sensitivity, and netizen sentiment will all have an impact on the monitoring of public opinion information on hot topics on the Internet. On this basis, a monitoring strategy for public opinion information on hot topics on the Internet is pro? posed.【Innovation/limitation】In order to effectively prevent network malignant events, it is necessary to comprehensively and timely grasp the development of public opinion information on network hot topics. By analyzing the relationship between public opinion infor? mation monitoring on network hot topics and influencing factors, it is of great significance to propose monitoring strategies for public opinion information on network hot topics to maintain the stability of society and the network environment.