Design of New Media Event Warning Method Based on K-means and Seasonal Optimization Algorithm

Zhenghan Gao; Anzhu Zheng

doi:10.4108/eetsis.4873

Authors

Zhenghan Gao Qingdao University of Technology
Anzhu Zheng Shandong University

DOI:

https://doi.org/10.4108/eetsis.4873

Keywords:

new media event warning methods, K-means clustering algorithm, seasonal optimization algorithm, random forests

Abstract

INTRODUCTION: Timely and effective early warning of new media events not only provides academic value to the study of new media events, but also can play a positive role in promoting the resolution of public opinion.

OBJECTIVES: Aiming at the current research on early warning of new media events, there are problems such as the theoretical research is not in-depth and the early warning model is not comprehensive.

METHOD: In this paper, K-means and seasonal optimization algorithm are used to construct new media event early warning method. Firstly, by analyzing the construction process of new media event early warning system, extracting text feature vector and carrying out text feature dimensionality reduction; then, combining with the random forest algorithm, the new media event early warning method based on intelligent optimization algorithm optimizing K-means clustering algorithm is proposed; finally, the validity and superiority of the proposed method is verified through the analysis of simulation experiments.

RESULTS: The method developed in this paper improves the accuracy, time performance of new media event warning techniques.

CONCLUSION: Addresses the lack of comprehensiveness of current approaches to early warning of new media events.

References

Ma W , Hu X , Chen C , Wen S, Choo K R, Xiang Y. Social Media Event Prediction using DNN with Feedback Mechanism[J].ACM transactions on management information systems, 2022.

Sobral V , Fairley S , O'Brien D .Factors influencing event media personnel's frame building process at the 2018 FIFA World Cup Russia[J]. .Tourism management, 2022(10):92.

S. S , Thomas M G .Metaheuristic Enabled Hot Event Detection and Product Recommendation in Social Media Data Streams[J]. Communication Networks and Distributed Systems, 2023.

Liu J , Wang Y , He S , Shangguan W, Wang T. A Quantitative Analysis of the Relationship Between the Public and News Media Attentions to Hot Network Events in China[J].International Journal of Crowd Science, 2022, 6(2):53-62.

Li L .Public Opinion Management of Public Crisis Events in the New Media Era - Taking 3.21 China Eastern Airlines Flight Accident as an Example[J].Modern Economics & Management Forum, 2022, 3(2):70-74.

Ma X , Xue P , Li M ,et al. Detection and analysis of emergency topic in social media considering changing roles of stakeholders[J].Online information review, 2023.

Ruozhou W .Research on the Communication Mechanism of Online Rumors Under the Empowerment of New Media Technology-Take the "Nabobess Having an Affair With Courier" Rumor Incident as an Example[J].. Psychological Research: English Edition, 2022(004):012.

Mukherjee P , Badr Y , Jansen B J .Analysis of Formality in Second Screen Postings for Television Broadcast of In-Real-Life Events[J]. Communication and Media Studies, 2022.

Xia L .Historical profile will tell? A deep learning-based multi-level embedding framework for adverse drug event detection and extraction[J]. Decision Support Systems, 2022.

Winkle C V , Corrigan S .Communicating on social media during a #Festival Emergency[J]. 2022, 13(2):144-163.

Afanasiev V . New warning over Russian oil output cuts[J].Upstream: The International Oil & Gas Newspaper, 2023.

Gao J , Xia L I , Xinxing W U ,et al. Analysis on Radar Characteristics of a Short-time Heavy Rainfall Event in Wuchuan County[J]. Meteorology and Environmental Studies:English Edition, 2022, 13(6):35-41.

Coatings F O P .Smart sensing coatings for early warning of degradations[J].Focus on powder coatings, 2023.

Spiegl T , Yoden S , Langematz U , Sato T, Chhin R, Noda S. Modeling the Transport and Deposition of 10Be Produced by the Strongest Solar Proton Event During the Holocene[J].Journal of Geophysical Research: Atmospheres, 2022, 127.

Marvin H J P , Hoenderdaal W , Gavai A K ,Mu W, Van d B L M, Liu N. Global media as an early warning tool for food fraud; an assessment of MedISys-FF[J].Food Control, 2022.

Oshimi D , Yamaguchi S .Leveraging strategies of recurring non-mega sporting events for host community development: a multiple-case study approach[J].Sport, Business and Management: An International Journal, 2022.

Pullen E , Jackson D , Silk M .Paralympic Broadcasting and Social Change: an Integrated Mixed Method Approach to Understanding the Paralympic Audience in the UK:[J].Television & New Media, 2022, 23(4):368-388.

Zhang C , Lei Y , Xiao X , Chen X. Cross-media video event mining based on attention graph structure learning[J].Neurocomputing, 2022.

Koch T K , Frischlich L , Lermer E .Effects of fact-checking warning labels and social endorsement cues on climate change fake news credibility and engagement on social media[J].Journal of Applied Social Psychology, 2023.

Ruozhou W .Research on the Communication Mechanism of Online Rumors Under the Empowerment of New Media Technology-Take the "Nabobess Having an Affair With Courier" Rumor Incident as an Example[J].Psychology Research, 2022, 12(4):208-217.

Hong-Xiao F , Chong J , Li-Juan X U .User Profile Based on Dendriform Vector Space Model[J].

Xue G , Liu S , Ren L , Ma Y, Gong D. Forecasting the subway passenger flow under event occurrences with multivariate disturbances[J].Expert Systems with Applications, 2022, 188:116057-.

Papaioannou A , Vainio R , Raukunen O ,Jiggens P, Aran A, Dierckxsens M. The probabilistic solar particle event forecasting (PROSPER) model[J]. Journal of Space Weather and Space Climate, 2022, 12:24.

Xu S , Li S , Huang W , Wen R. Detecting spatiotemporal traffic events using geosocial media data[J].Computers, environment and urban systems, 2022(1 ):94.

Jiachao Chen, Min Lu, Weijian Ding, Zhihui Chen. Collaborative clustering recommendation algorithm based on weighted Slope One padding[J]. Modern Information Technology, 2023(022):007.

Emami H. Seasons optimization algorithm[J]. Engineering with Computers, 2022, 38(2): 1845-1865.

MENG Qingsen, HAN Hao, LI Yi. A study on highway secondary accident prediction based on Bayesian optimized random forest[J]. China Safety Production Science and Technology, 2023, 19(7):205-210.