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Unstructured Data Analysis for Marketing Decisions in Agri-food Sector

机译:农业食品部门营销决策的非结构化数据分析

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The increase in business, the intense competition between companies, make the marketing an operation and a management mechanism essential for enterprises. On the other hand, social networks are expanding rapidly and can help companies in collecting customers' feedback, establishing a brand presence, observing the way their brands are discussed and perceived. This paper focuses on the advantages of analysing data extracted from unstructured sources for marketing purpose and shows the results obtained in a case study in the agri-food sector. The innovative architecture proposed is realized through the integration of some existing java based tools and of one or many ontologies, in order to retrieve more frequent concepts from unstructured sources, suggest links of articles and images, detect the language used in the sources, suggest other concepts related to the research and filter the results obtained from the elaboration of the unstructured sources.
机译:业务增加,公司之间的激烈竞争,使企业营销营销和管理机制。另一方面,社交网络正在迅速扩展,可以帮助公司收集客户的反馈,建立品牌存在,观察其品牌的讨论和感知方式。本文重点介绍分析从非结构化源提取的数据以进行营销目的,并显示在农业食品部门的案例研究中获得的结果。通过集成一些基于Java的工具和一个或多个本体的集成来实现创新的架构,以便从非结构化源检索更频繁的概念,建议文章和图像的链接,检测源中使用的语言,表明其他与研究和过滤过滤结果相关的概念,从制定非结构化来源获得的结果。

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