基于在线评论关系抽取的家具设计方法研究

卢矜彤, 林秋丽, 耿睿, 宋杰, 郭琼, 房霄雅

包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (4) : 30-38.

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包装工程(设计栏目) ›› 2026, Vol. 47 ›› Issue (4) : 30-38. DOI: 10.19554/j.cnki.1001-3563.2026.04.003
工业设计

基于在线评论关系抽取的家具设计方法研究

  • 卢矜彤1, 林秋丽2, 耿睿3, 宋杰4, 郭琼4,*, 房霄雅1
作者信息 +

Furniture Design Methods Based on Online Comment Relationship Extraction

  • LU Jintong1, LIN Qiuli2, GENG Rui3, SONG Jie4, GUO Qiong4,*, FANG Xiaoya1
Author information +
文章历史 +

摘要

目的 针对传统感性评价方法存在的样本量小、主观性强、效率低、映射模糊等问题,提出一种基于CasRel关系抽取模型和情感词典的感性评价要素识别方法,以精准挖掘用户对家具产品的情感需求。方法 通过互联网平台广泛收集相关产品的特征描述及用户评价,运用文本挖掘技术和权重筛选方法提取代表性感性词汇。在此基础上,构建关系抽取模型并进行训练,建立“情感-特征”自动关联体系。通过实际案例验证模型有效性并指导设计改良。结果 训练完成的模型能够高效准确地从大量评论中识别用户情感与产品特征的对应关系,验证了方法的实用价值。结论 在线评论关系抽取方法能够实现用户需求的高效挖掘,为家具设计提供数据驱动的决策支持,显著提升设计效率与精准度。

Abstract

In response to the problems of small sample size, strong subjectivity, low efficiency, and fuzzy mapping in traditional sensory evaluation methods, the work aims to propose a sensory evaluation element recognition method based on CasRel relation extraction model and emotion dictionary to accurately mine users' emotional needs for furniture products. The feature descriptions and user evaluations of relevant products were widely collected through the Internet platform, and representative words were extracted by text mining technology and weight screening methods. On this basis, a relationship extraction model was constructed and trained to establish an "emotion-feature" automatic association system. The effectiveness of the model was validated through practical cases and the design optimization was guided. The trained model could efficiently and accurately identify the correspondence between user emotions and product features from a large number of comments, verifying the practical value of the method. The online comment relationship extraction method can efficiently mine user needs, provide data-driven decision support for furniture design, and significantly improve design efficiency and accuracy.

关键词

感性评价 / 感性工学 / 产品在线评论 / 关系抽取 / 神经网络

Key words

sensory evaluation / Kansei engineering / online product comment / relationship extraction / neural network

引用本文

导出引用1
卢矜彤, 林秋丽, 耿睿, 宋杰, 郭琼, 房霄雅. 基于在线评论关系抽取的家具设计方法研究[J]. 包装工程. 2026, 47(4): 30-38 https://doi.org/10.19554/j.cnki.1001-3563.2026.04.003
LU Jintong, LIN Qiuli, GENG Rui, SONG Jie, GUO Qiong, FANG Xiaoya. Furniture Design Methods Based on Online Comment Relationship Extraction[J]. Packaging Engineering. 2026, 47(4): 30-38 https://doi.org/10.19554/j.cnki.1001-3563.2026.04.003
中图分类号: TB472   

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基金

广东省教育科学规划课题(高等教育专项)(2024GXJK120); 广东省重点领域研发计划项目(2020B0202010008)

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