考虑产品属性层次性的评论挖掘及需求获取方法

doi:10.13196/j.cims.2020.03.017

计算机集成制造系统 ›› 2020, Vol. 26 ›› Issue (第3): 747-759.DOI: 10.13196/j.cims.2020.03.017

考虑产品属性层次性的评论挖掘及需求获取方法

纪雪^1,2,高琦^1,2+,李先飞^1,2,高菲^1,2

1.山东大学机械工程学院
2.山东大学高效洁净机械制造教育部重点实验室

出版日期:2020-03-31 发布日期:2020-03-31
基金资助:
“十三五”装备预研领域基金资助项目(61409230102);山东省自然科学基金资助项目(ZR2017MEE075)。

Reviews mining and requirements elicitation methodology considering product attributes' hierarchy

Online:2020-03-31 Published:2020-03-31
Supported by:
Project supported by the Equipments Research Foundation during the 13th Five-Year Period,China(No.61409230102),and the Natural Science Foundation of Shandong Province,China(No.ZR2017MEE075).

摘要/Abstract

摘要： 为提高需求获取的准确性,提出一种考虑产品属性层次性的评论挖掘及需求获取方法。首先,采用基于层次主题模型的半监督方法挖掘大量文本评论数据,得到产品属性层次结构树。其次,基于依存句法分析抽取产品属性对应的情感极性相关词,并对其量化表示为情感极性值,再基于属性间的加权层次关系对缺失的情感极性值进行补充。最后,计算每个产品属性的平均用户满意度,并分析确定下一代产品的开发需求。通过挖掘汽车之家口碑数据获取用户需求的案例,证明了所提方法的有效性。

关键词: 在线评论, 需求获取, 层次性, 产品属性, 情感极性

Abstract: An online reviews mining and requirements elicitation methodology considering product attributes' hierarchy was proposed.Firstly,a large amount of textual reviews was mined by using a semi-supervised method based on hierarchical Latent Dirichlet Allocation(hLDA),and a product attribute hierarchy tree was generated.Then,the emotional polarity words corresponding to the product attribute words were extracted on the basis of the dependency syntax analysis,and were quantitatively expressed in emotional polarity values.Specially,the missing emotional polarity values were supplemented based on the weighted hierarchical relationship among the attributes.Finally,the average user satisfaction value was calculated for each product attribute,and the next-generation product development requirements were analyzed and determined.A case study of mining the word-of-mouth data in the Autohome website to obtain requirements was provided to verify the effectiveness of proposed methodology.

Key words: online reviews, requirements elicitation, hierarchy, product attribute, sentiment polarity

中图分类号:

纪雪,高琦,李先飞,高菲. 考虑产品属性层次性的评论挖掘及需求获取方法[J]. 计算机集成制造系统, 2020, 26(第3): 747-759.

[1]	鄢章华,李倩,刘蕾. 基于双因素理论的顾客满意度测量与提升[J]. 计算机集成制造系统, 2021, 27(11): 3365-3372.
[2]	于超,樊治平. 基于顾客在线评论的服务要素优化配置方法[J]. 计算机集成制造系统, 2019, 25(第3): 714-725.
[3]	李少波,全华凤,胡建军,吴永明,张安思. 基于在线评论数据驱动的产品感性评价方法[J]. 计算机集成制造系统, 2018, 24(第3): 752-762.
[4]	王蕾,夏绪辉,曹建华,刘翔. 再制造服务需求动态获取方法及应用[J]. 计算机集成制造系统, 2018, 24(第3): 781-792.
[5]	翟丽丽，张涛+，彭定洪. 基于本体论的信息系统需求获取[J]. , 2013, 19 (01 ): 0-0.
[6]	吴凡，王纪韶，潘永泉. 钢铁行业实施ERP的产品结构设计[J]. , 2002, 8(6): 0-0.
[7]	张和明，熊光楞. 产品需求获取及其结构化建模方法[J]. , 2001, 7(10): 0-0.

考虑产品属性层次性的评论挖掘及需求获取方法

Reviews mining and requirements elicitation methodology considering product attributes' hierarchy

PDF

可视化

摘要/Abstract

引用本文

使用本文

参考文献

相关文章 7

编辑推荐

Metrics