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作 者:苗润生 裴泽鸿 MIAO Runsheng;PEI Zehong(College of Publishing,University of Shanghai for Science and Technology,Shanghai 200093,China)
出 处:《上海理工大学学报(社会科学版)》2025年第1期55-63,共9页Journal of University of Shanghai for Science and Technology:Social Sciences Edition
基 金:国家重点研发计划资助项目“文化产品产权价值评估与确权标识应用技术研究”(2021YFF0900400);上海市哲学社会科学规划课题(2022ETQ004)。
摘 要:通过综合考量文化产品的共性与特性,提炼各属性的代表性指标,构建基于“社会效益-经济效益-技术效益-生态效益”的四维属性评估体系,提出了一种基于大模型与深度学习的跨领域文化产品产权价值可解释评估方法。结合选取的四维属性指标,对不同类型的文化产品特征进行统一化处理,构建统一评估指标体系。利用大模型与提示词工程结合外部关键因子,生成量化指标数据,并引入注意力机制构建文化产品产权价值的评估模型。通过大模型动态关注产权价值评估结果的关键特征,对评估结果进行解释性说明。使用文化产业真实交易数据进行模型训练,为验证模型效果,进行三种不同评估方法的对比实验,从准确性、复杂度、敏感性三个方面进行模型验证。最后,输出三种不同类型的文化产品评估示例,以展示模型的最终效果。Considering the general and special characteristics of cultural products,identifying the representative indicators of each attribute,we construct a four-dimension attribute assessment system based on“social-economic-technical-ecological”benefits,and propose an interpretable assessment method based on a large model and deep learning for the property value of cross-domain cultural products.Together with the selected four-dimension attribute indicators,the features of different types of cultural products are unified in the assessment index system.Combining the large model and cue word engineering with external key factors to generate quantitative index data,and introducing the attention mechanism to construct the assessment model of property value of cultural products.Dynamic attention is paid to the key features of the assessment results of property value through the large model,and adequate explanations of the assessment results are provided.The model is trained with real transaction data of cultural industry,and experiments of three different assessment methods are compared to verify the model in terms of accuracy,complexity and sensitivity.And the three different types of cultural product assessment outputs demonstrate the effect of the model.
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