Research On Key Technologies Of Museum Network Influence Evaluation

With the development of information technology,museum informationization has become one of the important trends in the development of cultural relics industry.The Internet has provided new ways and means of communication for museums,and it has also brought new opportunities and challenges to museums.In the Internet environment,how museums use the Internet to serve the public,and using the network to further expand its influence has become a problem worth studying.Therefore,it is necessary to establish a complete evaluation system of museum network influence indicators to comprehensively evaluate the network influence of museums.This paper studies a set of museum network influence evaluation system based on the existing institutional network influence indicators.The main contributions of this paper are as follows:1.This paper puts forward the evaluation index system of museum network influence.Based on the evaluation of the influence of existing institutions,it investigates the relevant network public data of the museum.According to the characteristics of the museum itself,the design includes the influence of the museum website and the social feedback of the museum.Three primary indicators includes the academic influence of the museum.Through the expert analysis method and the analytic hierarchy process,the comprehensive weights of the evaluation indicators are determined according to the scientific calculation and analysis.2.This paper proposes an improved sentiment analysis model based on cyclic neural network,based on which the research and analysis of audience feedback indicators are carried out.The sentiment word refinement technique is used to refine the sentiment word vector,and then the sentiment vector is combined with the nonlinear multi-layer attention mechanism to obtain the sentiment analysis of the audience evaluation of the museum.3.This paper constructs a set of museum network influence evaluation system.Perform requirements analysis on the system,including system use case analysis,business process analysis,functional and non-functional analysis,etc.;system design,including database design and system architecture design.The system takes the national first-level museum as an example,and uses the network public data to quantitatively analyze and evaluate the network influence of the museum.