Furniture Aesthetic Evaluation And Empirical Research Based On Big Data Technology

Furniture is a comprehensive product that integrates material,cultural,and spiritual aspects.With the continuous development of science and economy,people’s requirements for furniture aesthetics have gradually shifted from simple and practical to deep level aesthetics and self-expression.How to evaluate furniture aesthetics and improve the quality of furniture aesthetics has always been an important issue in the furniture industry.The traditional methods of furniture aesthetic evaluation mainly rely on manual batch processing through questionnaire surveys,which are limited by issues such as small sample size,low efficiency,and poor timeliness.The full development of the Internet and big data is driving furniture aesthetic evaluation towards a massive and diversified direction.Therefore,this article proposes a furniture aesthetic evaluation method based on big data technology.The article first studies and sorts out the relevant theories of furniture aesthetic evaluation,exploring the meanings of aesthetic factors,aesthetic perception,and aesthetic emotions in furniture aesthetics,providing guidance for the quantification of furniture aesthetic evaluation.Secondly,a furniture aesthetic evaluation method based on big data technology is constructed by combining the characteristics of furniture aesthetic evaluation and big data technology.Propose an extraction algorithm for furniture aesthetic evaluation indicators using the BiLSTM-CRF model(with an accuracy rate of 86.47%),and construct furniture aesthetic evaluation indicators including shape,material,color,function,process structure,and experience.On this basis,the entity words extracted by the model are used as data features,and a furniture aesthetic evaluation method is constructed based on the Baidu NLP sentiment analysis model.Empirical research focuses on sofas,using 65974 evaluation data from the JD platform as the data source,to evaluate the overall aesthetic beauty of sofas and the beauty of various indicators;The important values and aesthetic perception obtained in this article divide the aesthetic evaluation indicators into four areas:advantage area,improvement area,opportunity area,and maintenance area.Based on the evaluation results,relevant suggestions are proposed for sofa design.Finally,compare the method of the article with traditional aesthetic evaluation methods,propose differences and advantages and disadvantages,and provide reference for further research on furniture aesthetic evaluation in the future;Extracting the same sample and comparing it with traditional methods using the article method,the validation results prove that the article method has a certain degree of reliability.The construction of furniture aesthetic evaluation method based on big data technology can effectively mine people’s aesthetic evaluation from unstructured data of network text data and can more intuitively understand the aesthetic characteristics of furniture,which solves the problems of poor timeliness,few samples and low efficiency of traditional furniture aesthetic evaluation.This evaluation method makes up for the shortcomings of traditional aesthetic evaluation methods,and broadens the methods and technologies of furniture aesthetic evaluation,This provides important reference value for helping modern furniture aesthetic evaluation from the perspective of big data technology.