计算机工程与应用2019，Vol.55Issue(4)：148-153,6.DOI:10.3778/j.issn.1002-8331.1711-0161
LDA模型在红酒数据关系挖掘中的应用研究
Research on Application of Relationship Mining into Red Wine Data Based on LDA Model
摘要
Abstract
In order to investigate the formation mechanism of odors and compounds in foods(such as wines and alcoholic beverages), especially in foods containing complex aromas, a new method of applying LDA model to mine the relation-ship between the odor in red wine and chemical molecules is proposed. The method combines the aroma and molecules in the flavor data set, regards the red wine as the document, the odors and molecule as the word. The hidden wine features are excavated through the LDA theme model. According to the distribution of red wine and chemical molecules in wine, the method is combined with Apriori algorithm for correlation analysis, ultimately to find the relationship between odor and chemical molecules, which lays the foundation for designing an electronic nose that can recognize food odor by testing the chemical molecules. The experimental data are provided by the Nantes Oniris Laboratory. The experimental results partially confirm the feasibility of applying LDA model to mine the relationship between wine odors and chemical molecules.关键词
潜在Dirichlet分配(LDA)/红酒气味/红酒分子式Key words
Latent Dirichlet Allocation(LDA)/ odor of red wine/ molecule of red wine分类
信息技术与安全科学引用本文复制引用
朱泓臻,陈平华,蔡桂兰..LDA模型在红酒数据关系挖掘中的应用研究[J].计算机工程与应用,2019,55(4):148-153,6.基金项目
广东省自然科学基金(No.2016A030313713) （No.2016A030313713）
广东省科技计划项目(No.2016B030308001,No.2017B030307002). （No.2016B030308001,No.2017B030307002）
