基于深度学习的企业开放社区用户创意挖掘方法研究  

Extracting users’ ideas in open innovation community using deep learning methods

作　　者：唐洪婷 蔡秀定 张延林[1] 李志宏[2] TANG Hongting;CAI Xiuding;ZHANG Yanlin;LI Zhihong(School of Management,Guangdong University of Technology,Guangzhou 510520,China;School of Business Administration,South China University of Technology,Guangzhou 510641,China)

机构地区：[1]广东工业大学管理学院,广州510520 [2]华南理工大学工商管理学院,广州510641

出　　处：《系统工程理论与实践》2021年第10期2488-2500,共13页Systems Engineering-Theory & Practice

基　　金：国家自然科学基金(72101060,72171089,71472051);广东省软科学研究项目(2020A1010020038)。

摘　　要：企业开放社区中聚集的海量产品知识与使用经验,可以为企业的产品创新提供创意与灵感.然而,面对爆炸式增长的非结构化数据,传统的观点挖掘技术在效果和效率方面早已无法满足需求.为此,本文基于深度学习算法提出一种更为高效、及时的用户创意挖掘方法.首先,本文搭建带有Dropout机制的多嵌入层CNN模型ME-CNN,以增强模型的局部语义特征捕捉能力,识别包含创意观点的帖子文本;进而充分利用Transformer模型的长距离依赖建模的特点和CNN模型善于捕捉局部语义信息的优点,构建组合模型TF-CNN实现句子粒度的非创意性文本过滤;最后使用层次凝聚聚类方法(HAC)对创意观点进行聚类,实现用户创意挖掘.通过利用真实数据进行实验,结果表明:该方法在用户创意挖掘方面具有更好的性能,能够帮助企业更高效地从企业开放社区中获取用户创意,为产品创新提供决策支持工具.The massive product experience and feedback in open innovation community could provide the inspiration of product innovation for enterprise.However,with the explosive growth of unstructured data,traditional opinion mining technology could no longer meet the real demand in terms of effectiveness and efficiency.To this end,this paper proposes a more efficient and timely method for idea extraction using deep learning algorithms.Specifically,firstly,this paper builds a multi-embedding layer CNN model with Dropout mechanism,called ME-CNN,to enhance the local feature extraction and to identify posts containing creative ideas.Then make full use of the feature of Transformer in capturing long-distance dependencies,and the strength of CNN in capturing local semantic information,we introduce a combined model,called TF-CNN,to achieve valuable sentences excluded non-creative texts.Finally,the hierarchical aggregation clustering method(HAC) is used to cluster creative ideas.Through experiments using real data,the results show that our proposed method performs well in extracting users ’ creativities,which can help enterprises obtain users’ ideas from open innovation community more efficiently,and provide efficient decision support tools for product innovation.

关 键 词：创意挖掘 企业开放社区 深度学习 CNN模型 知识管理 

分 类 号：N37[自然科学总论]