Advanced Analytics for Operationalization of Textual Data

文本数据操作化的高级分析

• 批准号: 570843-2021
• 负责人: Ruhe, Guenther
• 金额: $ 3.64万
• 依托单位: University of Calgary
• 依托单位国家: 加拿大
• 项目类别: Alliance Grants
• 财政年份: 2021
• 资助国家: 加拿大
• 起止时间: 2021-01-01 至 2022-12-31
• 项目状态: 已结题
• 来源: https://www.nserc-crsng.gc.ca/ase-oro/Details-Detailles_eng.asp?id=719487
• 关键词: Advanced; Analytics; Operationalization; Textual; Data

CHALLENGE: For making decisions based on non-quantitative data we have been relying on soft skills such as brainstorming, negotiation, and stakeholders workshop. With the shift from traditional customer relationship management to the platform mediated, online and open user feedback there is a large scale and diverse information often in the form of comments, posts, reviews, discussions which is shifting the process from inter-organizational negotiation and brainstorming into the user- and feedback-driven product management. GOAL: The Goal of this project is to provide a platform for Textual Data Analytics supporting the three stages of Product and Service decision-making. The focus is on providing on-demand cloud services to support tactical and strategic decisions on an executive level. EFFORT TO BE UNDERTAKEN: Decision-making is the result of a series of analyses. the choice of these analyses, the sequence, and granularity are not even clear in advance for any expert. We are providing a cloud service that is modular and the expert can choose and apply any set of analyses at different levels. The services combine and enhance existing components for Natural Language Processing, Deep Learning, and Sentiment Analysis with existing and extracted knowledge. On top of the isolated components, an integration layer is designed that includes the mapping between the analysis chosen and made and the mapping towards tactical and strategic decision-making in the context of product and service development. IMPACT: (Alberta) SMEs are roadblocked in their innovation pathway without getting access to advanced data management and analysis solutions. They often can neither afford the data scientists nor they are available. As Alberta diversifies and due to globalization, unstructured textual data is accessible from various distributed sources. This data helps companies understand customer needs better, create new product and service innovations, and monitor and control their development processes.

挑战：对于基于非量化数据的决策，我们一直依赖头脑风暴、谈判和利益相关者研讨会等软技能。随着客户关系管理从传统的平台中介的、在线的、开放的用户反馈转变为大规模、多样化的信息，往往以评论、帖子、评论、讨论的形式出现，这一过程正在从组织间的谈判和集思广益转变为用户和反馈驱动的产品管理。目标：该项目的目标是为文本数据分析提供一个平台，支持产品和服务决策的三个阶段。重点是提供按需云服务，以支持管理层的战术和战略决策。需要做出的努力：决策是一系列分析的结果。对于任何专家来说，这些分析的选择、顺序和粒度甚至都不是事先明确的。我们正在提供模块化的云服务，专家可以在不同级别选择和应用任何一组分析。这些服务结合并增强了自然语言处理、深度学习和情感分析的现有组件，以及现有和提取的知识。在孤立组件的基础上，设计了集成层，其中包括选择和做出的分析之间的映射，以及在产品和服务开发的上下文中进行战术和战略决策的映射。影响：(艾伯塔省)中小企业在其创新道路上受阻，无法获得先进的数据管理和分析解决方案。他们往往既负担不起数据科学家的费用，也找不到他们。随着艾伯塔省的多样化和全球化，非结构化文本数据可以从各种分布式来源访问。这些数据帮助公司更好地了解客户需求，创造新的产品和服务创新，并监控其开发流程。